Ancestry Only Shows Shared Matches of 20 cM and Greater – What That Means & Why It Matters

Recently, I’ve noticed an uptick in confused people who’ve taken Ancestry’s DNA test.

They are using shared matches, which is a great tool and exactly what they should be doing, but they become confused when no shared matches appear with some specific people.

This is especially perplexing when they know through information sharing or because they manage multiple DNA kits that those two people who both match them actually do share DNA and match each other, meaning they “should” appear on a shared match list. Or worse, yet, conflicting match information is displayed, with one person showing the shared match, but the other person reciprocally does not.

What gives?

That’s exactly what this article addresses. It’s not quite as simple as it sounds, but it’s certainly easier once you understand.

What Are Matches and Shared Matches?

Matches occur when two people match each other. From your perspective as a DNA tester, matches are people who have taken DNA tests and appear on your match list because you share some level of DNA equal to or greater than the match threshold of the vendor in question.

At Ancestry, that minimum matching threshold is 8 cM (centimorgans) of matching DNA.

Individual matches are always one-to-one. Your match list is a list of people who all match you.

So, you match person 1, and you match person 2, individually.

Your matches may or may not also match each other. If they do match each other in addition to matching you, that’s a shared match which is a hint as to a potential common ancestor between all three people.

Shared matches are a list of people who match you PLUS any one other match on your list. In other words, shared matches are three-way matches.

In the diagram above, you can see that you match Match 1 and you also match Match 2. In this case, Match 1 and Match 2 also match each other, so all three of you match each other, but not necessarily on the same segment. Therefore, you’re all three shared matches, as shown in the center of the three circles.

Viewing Shared Matches

To view a list of people who match you and Match 1, you would request shared matches with Match 1 by clicking on “View Match” or “Learn More” on your match list, then on “Shared Matches” on the next screen.

The resulting shared match list consist of people who match you AND Match 1, both. It’s easy to make assumptions about why you have shared matches, but don’t.

Shared Matches are Hints

A shared match CAN mean:

  • That all three people share a common ancestral line.
  • You share a common ancestor with Match 1 and Match 2, but Match 1 and 2 match each other because they share an entirely different ancestor.
  • You match Match 1 because you share DNA from Ancestor A and you match Match 2 because you share DNA from Ancestor B. Match 1 and 2 match each other either because they share one or both of those common ancestors.
  • Match 1 and Match 2 might match because Match 1 and Match 2 share an ancestor that isn’t related to you.
  • That one (or more) of the matches is identical by chance, meaning the DNA combined from two parents in a random way that just happens to match with someone else.

Shared matches are great hints to be sifted for relevance. The operative word here is hint.

What If We Don’t Have Shared Matches?

Conversely, NOT having a shared match doesn’t mean you don’t share a common ancestor.

Sorry about the triple negative. Let me say that another way, because this is important.

Even though you and someone else aren’t on a shared match list, you might still share DNA and you may share a common ancestor, whether you share their DNA or not.

Ancestry’s shared matches work differently than shared matches at other vendors. Before we discuss that, let’s talk about why shared matches are important.

Why Do Shared Matches Matter Anyway?

Matches and shared matches are how genealogists perform two critically important functions:

  • Verifying “known” ancestors. Sometimes paper trails aren’t accurate and certainly, neither are trees.
  • Identifying unknown ancestors. Looking for common families among shared DNA matches is a HUGE hint when tracking down those pesky unknown ancestors.

I wrote about shared matches, here, when Ancestry purged segments under 8 cM, but I think the message about the limitations of shared matches and how the process actually works deserves its own article, especially for new users. Shared matches and segment cM numbers can be quite confusing, but they don’t need to be.

I wrote an article titled DNA Beginnings: Matching at Ancestry and What It Means that includes lots of useful information.

Ok, now let’s look specifically at using shared matches and why sometimes shared matches just don’t seem to make sense.

Matches

By far, the majority of your matches at any vendor will be more distant matches. That’s because you have thousands of distant relatives, most of whom you don’t know (yet).

You’ll only have a few closer relatives.

At Ancestry, I have 102,000+ total matches, of which more than 97,000 are distant matches. Based on these numbers, keep in mind that about 95.74% of my matches are distant, meaning 20 cM or below, and yours probably are too. You’ll need that number later.

Note that 20 cM is Ancestry’s threshold between close matches and distant matches.

That’s about exactly where you’d expect, on average, to see a 20 cM match – generally at or further back than 4th cousins. 20 cM is roughly the 4th to 6th cousin level.

Of course, you won’t match most of your 5th cousins at all, yet you’ll match some with more than 20 cM. That’s just the roll of the genetic dice.

Closer ancestors (meaning closer matches) is also the area of genealogy where much of the lower-hanging fruit has been plucked.

In my case, the closest unknown ancestor in my tree occurs at the 6th generation level and I have 5 or 6 missing sixth-generation ancestors – all females with no surnames. Two have no names at all.

Click to enlarge any image

How Much DNA Do Cousins Share?

One of my priorities as a genealogist is to identify those unknown people, which is why matches, and shared matching at that level are critical for me.

Ancestry tells me that this 20 cM match is likely my 4th-6th cousin.

At DNAPainter, in the Shared cM Tool, you can enter the total cM number of a match, which is the total amount of DNA that you share after Ancestry’s Timber algorithm has been applied. The range of relationship probabilities for 20 cM is shown below.

For a total match of 20 cM with another individual, several relationships ranging between half 3C2R/3C3R and 8th cousins are the most probable relationships at 58%.

For the record, this is total cM, which does not necessarily mean one segment. Ancestry reports the number of segments, but Ancestry does not show you the segment locations, nor do they have a chromosome browser. Without a chromosome browser, you have no way of determining whether or not you match with shared matches on the same segment(s). In other words, there is no triangulation at Ancestry, meaning confirmation of a specific shared DNA segment descended from a common ancestor. You can find triangulation resources, here.

Close Matches

The best way to figure out how you are related to closer matches (assuming you don’t already know them and Ancestry has not found a common ancestor) is using shared matches. Hopefully, you will share matches with people you do know or with whom you’ve already identified your common ancestor.

One of my relatively close DNA matches at Ancestry is Lonnie. I don’t know Lonnie, but it looks like I should because he’s probably a 1st or 2nd cousin. We share 357 cM of DNA over 20 segments.

I thought I knew all of my 1st and 2nd cousins. Let’s see if I can figure out how I’m related to Lonnie.

By clicking on Lonnie’s name on my match list, then on Shared Matches, I can determine that Lonnie and I connect through my Estes and Vannoy lines based on who we both match, which means that our common ancestor is either my paternal grandfather or my great-grandparents, Lazarus Estes and Elizabeth Vannoy.

You can see the notes I’ve made about these matches I share with Lonnie.

Viewing Lonnie’s unlinked tree verifies the ancestral line that shared matches suggest. An unlinked tree means that Lonnie has not linked his DNA test to himself in his tree. Since Ancestry doesn’t know who he is in the tree, they can’t find a common ancestor for me and Lonnie. However, I can by viewing his tree.

Our common ancestor is Lazarus Estes and his wife, Elizabeth Vannoy. Therefore, Lonnie is my 2nd cousin.

That wasn’t difficult, in part because I had already worked on the genealogy of our common matches and Lonnie had a small unlinked tree where I could confirm our common ancestor.

Now let’s move to more distant, not-so-easy matches.

Distant Matches

I’ve spent a lot of time over the years identifying common ancestors with my matches.

When I make that connection, whether or not Ancestry has been able to identify our common ancestor, I make notes about common ancestors and anything else that seems relevant. Notes very conveniently show on my match list so I don’t need to open each match to see how we are related.

Ancestry does identify potential common ancestors using ThruLines. Note the word potential. Ancestry compares the trees of you and your matches searching for common ancestors and suggests connections. It’s up to you to verify. ThruLines are hints, not gospel. Additionally, you may have multiple ancestral links to your matches. Ancestry can only work with the fact that you have a DNA match with someone AND the user-provided trees of your matches.

Ancestry’s ThruLines only reach back a maximum of 7 generations to suggest common ancestors. At 7 generations distance, you’d be a 5th cousin to a descendant who is also 7 generations downstream from that ancestor.

The information from DNAPainter, who utilizes the Shared CM Project compiled data shows that the most likely amount of shared DNA for 5th cousins, is, you’ve guessed it – 20 cM.

Jacob Dobkins is my 7th generation ancestor. I have ThruLines for him and his wife, but not for their parents who are one generation too distant for ThruLines. I’d LOVE to see Ancestry extend ThruLines another 2 or 3 generations.

ThruLines matches me with people who descend from Jacob through his other children. Other children are important because the only ancestors you share with those people are (presumably) that ancestral couple.

Matches with Jacob’s descendants range from 8 cM (the smallest amount Ancestry reports) to 32 cM.

Here’s an example.

Ancestry displays some shared matches with all of your matches, regardless of the size of your match to that person. However, Ancestry ONLY shows shared matches to a third person if you share more than 20 cM of DNA with that third person.

For example, I match KO with 8 cM of DNA. Ancestry shows my shared matches with KO, below.

I only have 3 shared matches with KO. I only match KO at 8 cM, but I match our shared matches at 39, 31 and 21 cM, respectively.

Ancestry does NOT show shared matches below 20 cM, so it’s unknown how many additional shared matches KO and I actually have if shared matches less than 20 cM were displayed.

Perspective is Critical

Whether you see a shared match or not is sometimes a matter of perspective, meaning which of two people you request shared matches with.

In this case, I requested shared matches with KO. I only share 8 cM of DNA with KO, but that doesn’t matter. The amount of DNA you share with the person you’re requesting shared matches with is irrelevant.

Ancestry’s Shared Matches with KO include Ker

I will see shared matches with KO to anyone we mutually share as matches above 20 cM, including Ker.

If I request shared matches with Ker, with whom I share 39 cM of DNA, I will see all of our mutual matches at 20 cM (or greater) of DNA. However, that does NOT include KO because I only share 8 cM of DNA with KO.

This restriction applies regardless of how much DNA KO and Ker share, which is an unknown to me of course.

Ancestry’s Shared Matches with Ker does NOT include KO

Nothing has changed between these matches, yet KO does not appear on my shared matches list with Ker when I request shared matches with Ker.

I still share 8 cM with KO and 39 cM with Ker. KO and Ker still both match each other. The only difference is that Ker shows up on my shared match list with KO because I share more than 20 cM with Ker. However, when I request a match list with Ker, KO does NOT appear because I only share 8 cM with KO.

This is the source of the confusion and often, why people disagree about shared matches. It’s kind of a “now you see it, now you don’t” situation.

If a person shows as a shared match depends on:

  1. Whether the third person actually does share DNA with the tester and the person they’ve asked for shared matches with
  2. Whether the third person shares 20 cM DNA or more with the tester, the person requesting the shared match list with one of their matches

Whether someone appears on a shared match list can literally be a matter of perspective unless the match and the shared matches all match the tester at 20 cM or larger.

Another Example

Let’s look at a larger match to a descendant of the same ancestor.

I share exactly 20 cM with Joyce, my 5C1R.

Viewing my shared matches with Joyce, I match 50 other people that she matches as well.

I only share 25 cM of DNA with the smallest match with Joyce. Apparently, there are no matches with Joyce with whom I share between 20 and 25 cM of DNA.

Bottom Line

Here’s the bottom line.

Ancestry NEVER shows any shared matches below 20 cM from the perspective of the tester, meaning people who match you and someone else, both.

If you recall our earlier math, that means that approximately 95.74% of my shared matches aren’t shown.

This puts shared matches in a different perspective because now I realize just how many matches I’m not seeing.

Why is This Confusing?

If you aren’t aware of this shared match limitation, and that a majority of your shared matches are actually below 20 cM, you may interpret shared match results to mean you actually DON’T share specific matches with that other person. That isn’t necessarily true, as we saw above with KO and Ker.

Furthermore, let’s say you manage your DNA kit plus 3 more, A, B and C. Because you manage all 4 kits, that means you can see the results for all 4 people.

  • A – 10 cM
  • B – 20 cM
  • C – 40 cM

From the perspective of YOUR kit, you will see some shared matches FOR all of those matches.

What you won’t see is shared matches if you don’t match the shared match (third person) at 20 cM or greater.

Always remember, shared match information at Ancestry is ALWAYS from the perspective of your DNA kit combined with the person with whom you request the match.

I’ve put this information in a grid because that’s how I make sense of things like this.

Here are your matches. When you click on shared matches with person A who you match at 10 cM, you’ll see both person B and person C as shared matches since you match both of those people at 20 cM or larger. You WILL see 20 cM shared matches, but you will not see 19 cM shared matches.

When you request shared matches for A, you will see both B and C.

When you request shared matches with kits B and C, you will not see A because you only match them at 10 cM.

However, from the perspective of DNA kits A, B and C, shared matches look different.

Let’s look at shared matches from the perspective of Kits A, B and C.

Kit A matches you, Kit B and C, but can only see Kit B as a shared match because matches with you and Kit C are under 20 cM.

Kit B doesn’t match C at all, so they clearly won’t have shared matches. However, they do match you and Kit A, both at 20 cM and over, so Kit B will see you as a shared match with Kit A, and Kit A as a shared match with you.

Kit C doesn’t match Kit B, so no shared matches with that person at all. Kit C does match you and Kit A. However, when Kit C clicks on shared matches for you, Kit A doesn’t show up because they only match Kit A on 9 cM. When Kit C clicks on Kit A for shared matches, you ARE listed as a shared match because you share 40 cM of DNA with Kit C.

There’s no way to discern whether two of your matches match each other unless they show as a match in the shared match tool. You can’t tell if their absence on the shared match list means they actually don’t match, or their shared match absence is because they match you at less than 20 cM.

Whew, that was a mouthful.

You may need to refer back to this from time to time if you’re confused by your shared matches at Ancestry.

If you need to remember rules, remember this.

  1. You can obtain shared matches with yourself plus any match, regardless of how much or how little DNA you share with that one match. Prove this to yourself by finding a match under 20 cM, like my 8 cM match, and viewing your shared matches.
  2. No one will show on a shared match list with another person unless they match you at 20 cM or greater. Prove this to yourself by viewing the smallest shared match with anyone.

Strategy

The takeaway of this is if you have a larger (20 cM or over) and smaller match (under 20 cM), always request shared matches from the perspective of the smaller match because the smaller match won’t show up as a shared match on any shared match list.

The only way you can see shared matches that includes people under 20 cM is to request to view shared matches with individual people who match you below 20 cM. 

In my case, I will never see KO on any shared match list because I only match KO at 8 cM. However, I can request my shared matches with KO in which case I’ll see all 20 cM or greater shared matches with KO.

Alternatives

Every vendor provides a shared match feature, and each functions differently.

In the chart below, I’ve provided basic shared match information for each vendor.

If you’re interested in uploading your DNA file from Ancestry or another vendor, I’ve provided upload/download step-by-step instructions for each vendor, here.

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Top Ten RootsTech 2022 DNA Sessions + All DNA Session Links

The official dates of RootsTech 2022 were March 3-5, but the sessions and content in the vendor booths are still available. I’ve compiled a list of the sessions focused on DNA, with web links on the RootsTech YouTube channel

YouTube reports the number of views, so I was able to compile that information as of March 8, 2022.

I do want to explain a couple of things to add context to the numbers.

Most speakers recorded their sessions, but a few offered live sessions which were recorded, then posted later for participants to view. However, there have been glitches in that process. While the sessions were anticipated to be available an hour or so later, that didn’t quite happen, and a couple still aren’t posted. I’m sure the presenters are distressed by this, so be sure to watch those when they are up and running.

The Zoom rooms where participants gathered for the live sessions were restricted to 500 attendees. The YouTube number of views does not include the number of live viewers, so you’ll need to add an additional number, up to 500.

When you see a number before the session name, whether recorded or live, that means that the session is part of a series. RootsTech required speakers to divide longer sessions into a series of shorter sessions no longer than 15-20 minutes each. The goal was for viewers to be able to watch the sessions one after the other, as one class, or separately, and still make sense of the content. Let’s just say this was the most challenging thing I’ve ever done as a presenter.

For recorded series sessions, these are posted as 1, 2 and 3, as you can see below with Diahan Southard’s sessions. However, with my live session series, that didn’t happen. It looks like my sessions are a series, but when you watch them, parts 1, 2 and 3 are recorded and presented as one session. Personally, I’m fine with this, because I think the information makes a lot more sense this way. However, it makes comparisons difficult.

This was only the second year for RootsTech to be virtual and the conference is absolutely HUGE, so live and learn. Next year will be smoother and hopefully, at least partially in-person too.

When I “arrived” to present my live session, “Associating Autosomal DNA Segments With Ancestors,” my lovely moderator, Rhett, told me that they were going to livestream my session to the RootsTech page on Facebook as well because they realized that the 500 Zoom seat limit had been a problem the day before with some popular sessions. I have about 9000 views for that session and more than 7,400 of them are on the RootsTech Facebook page – and that was WITHOUT any advance notice or advertising. I know that the Zoom room was full in addition. I felt kind of strange about including my results in the top ten because I had that advantage, but I didn’t know quite how to otherwise count my session. As it turns out, all sessions with more than 1000 views made it into the top ten so mine would have been there one way or another. A big thank you to everyone who watched!

I hope that the RootsTech team notices that the most viewed session is the one that was NOT constrained by the 500-seat limited AND was live-streamed on Facebook. Seems like this might be a great way to increase session views for everyone next year. Hint, hint!!!

I also want to say a huge thank you to all of the presenters for producing outstanding content. The sessions were challenging to find, plus RootsTech is always hectic, even virtually. So, I know a LOT of people will want to view these informative sessions, now that you know where to look and have more time. Please remember to “like” the session on YouTube as a way of thanking your presenter.

With 140 DNA-focused sessions available, you can watch a new session, and put it to use, every other day for the next year! How fun is that! You can use this article as your own playlist.

Please feel free to share this article with your friends and genealogy groups so everyone can learn more about using DNA for genealogy.

Ok, let’s look at the top 10. Drum roll please…

Top 10 Most Viewed RootsTech Sessions

Session Title Presenter YouTube Link Views
1 1. Associating Autosomal DNA Segments With Ancestors Roberta Estes (live) https://www.youtube.com/watch?v=_IHSCkNnX48

 

~9000: 1019 + 500 live viewers + 7,400+ Facebook
2 1. What to Do with Your DNA Test Results in 2022 (part 1 of 3) Diahan Southard https://www.youtube.com/watch?v=FENAKAYLXX4 7428
3 Who Is FamilyTreeDNA? FamilyTreeDNA – Bennett Greenspan https://www.youtube.com/watch?v=MHFtwoatJ-A 2946
4 2. What to Do with Your DNA Test Results in 2022 (part 2 of 3) Diahan Southard https://www.youtube.com/watch?v=mIllhtONhlI 2448
5 Latest DNA Painter Releases DNAPainter Jonny Perl (live) https://www.youtube.com/watch?v=iLBThU8l33o 2230 + live viewers
6 DNA Painter Introduction DNAPainter – Jonny Perl https://www.youtube.com/watch?v=Rpe5LMPNmf0 1983
7 3. What to Do with Your DNA Test Results in 2022 (part 3 of 3) Diahan Southard https://www.youtube.com/watch?v=hemY5TuLmGI 1780
8 The Tree of Mankind Age Estimates Paul Maier https://www.youtube.com/watch?v=jjkL8PWAEwk 1638
9 A Sneak Peek at FamilyTreeDNA Coming Attractions FamilyTreeDNA (live) https://www.youtube.com/watch?v=K9sKqNScvnE 1270 + live viewers

 

10 Extending Time Horizons with DNA Rob Spencer (live) https://www.youtube.com/watch?v=wppXD1Zz2sQ 1037 + live viewers

 

All DNA-Focused Sessions

I know you’ll find LOTS of goodies here. Which ones are your favorites?

  Session Presenter YouTube Link Views
1 Estimating Relationships by Combining DNA from Multiple Siblings Amy Williams https://www.youtube.com/watch?v=xs1U0ohpKSA 201
2 Overview of HAPI-DNA.org Amy Williams https://www.youtube.com/watch?v=FjNiJgWaBeQ 126
3 How do AncestryDNA® Communities help tell your story? | Ancestry® Ancestry https://www.youtube.com/watch?v=EQNpUxonQO4 183

 

4 AncestryDNA® 201 Ancestry – Crista Cowan https://www.youtube.com/watch?v=lbqpnXloM5s

 

494
5 Genealogy in a Minute: Increase Discoveries by Attaching AncestryDNA® Results to Family Tree Ancestry – Crista Cowan https://www.youtube.com/watch?v=iAqwSCO8Pvw 369
6 AncestryDNA® 101: Beginner’s Guide to AncestryDNA® | Ancestry® Ancestry – Lisa Elzey https://www.youtube.com/watch?v=-N2usCR86sY 909
7 Hidden in Plain Sight: Free People of Color in Your Family Tree Cheri Daniels https://www.youtube.com/watch?v=FUOcdhO3uDM 179
8 Finding Relatives to Prevent Hereditary Cancer ConnectMyVariant – Dr. Brian Shirts https://www.youtube.com/watch?v=LpwLGgEp2IE 63
9 Piling on the chromosomes Debbie Kennett https://www.youtube.com/watch?v=e14lMsS3rcY 465
10 Linking Families With Rare Genetic Condition Using Genealogy Deborah Neklason https://www.youtube.com/watch?v=b94lUfeAw9k 43
11 1. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=FENAKAYLXX4 7428
12 1. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=hemY5TuLmGI 1780
13 2. What to Do with Your DNA Test Results in 2022 Diahan Southard https://www.youtube.com/watch?v=mIllhtONhlI 2448
14 DNA Testing For Family History Diahan Southard https://www.youtube.com/watch?v=kCLuOCC924s 84

 

15 Understanding Your DNA Ethnicity Estimate at 23andMe Diana Elder

 

https://www.youtube.com/watch?v=xT1OtyvbVHE 66
16 Understanding Your Ethnicity Estimate at FamilyTreeDNA Diana Elder https://www.youtube.com/watch?v=XosjViloVE0 73
17 DNA Monkey Wrenches DNA Monkey Wrenches https://www.youtube.com/watch?v=Thv79pmII5M 245
18 Advanced Features in your Ancestral Tree and Fan Chart DNAPainter – Jonny Perl https://www.youtube.com/watch?v=4u5Vf13ZoAc 425
19 DNA Painter Introduction DNAPainter – Jonny Perl https://www.youtube.com/watch?v=Rpe5LMPNmf0 1983
20 Getting Segment Data from 23andMe DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=8EBRI85P3KQ 134
21 Getting segment data from FamilyTreeDNA DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=rWnxK86a12U 169
22 Getting segment data from Gedmatch DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=WF11HEL8Apk 163
23 Getting segment data from Geneanet DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=eclj8Ap0uK4 38
24 Getting segment data from MyHeritage DNA matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=9rGwOtqbg5E 160
25 Inferred Chromosome Mapping: Maximize your DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=tzd5arHkv64 688
26 Keeping track of your genetic family tree in a fan chart DNAPainter – Jonny Perl https://www.youtube.com/watch?v=W3Hcno7en94 806

 

27 Mapping a DNA Match in a Chromosome Map DNAPainter – Jonny Perl https://www.youtube.com/watch?v=A61zQFBWaiY 423
28 Setting up an Ancestral Tree and Fan Chart and Exploring Tree Completeness DNAPainter – Jonny Perl https://www.youtube.com/watch?v=lkJp5Xk1thg 77
29 Using the Shared cM Project Tool to Evaluate DNA Matches DNAPainter – Jonny Perl https://www.youtube.com/watch?v=vxhn9l3Dxg4 763
30 Your First Chromosome Map: Using your DNA Matches to Link Segments to Ancestors DNAPainter – Jonny Perl https://www.youtube.com/watch?v=tzd5arHkv64 688
31 DNA Painter for absolute beginners DNAPainter (Jonny Perl) https://www.youtube.com/watch?v=JwUWW4WHwhk 1196
32 Latest DNA Painter Releases DNAPainter (live) https://www.youtube.com/watch?v=iLBThU8l33o 2230 + live viewers
33 Unraveling your genealogy with DNA segment networks using AutoSegment from Genetic Affairs Evert-Jan Blom https://www.youtube.com/watch?v=rVpsJSqOJZI

 

162
34 Unraveling your genealogy with genetic networks using AutoCluster Evert-Jan Blom https://www.youtube.com/watch?v=ZTKSz_X7_zs 201

 

 

35 Unraveling your genealogy with reconstructed trees using AutoTree & AutoKinship from Genetic Affairs Evert-Jan Blom https://www.youtube.com/watch?v=OmDQoAn9tVw 143
36 Research Like a Pro with DNA – A Genealogist’s Guide to Finding and Confirming Ancestors with DNA Family Locket Genealogists https://www.youtube.com/watch?v=NYpLscJJQyk 183
37 How to Interpret a DNA Network Graph Family Locket Genealogists – Diana Elder https://www.youtube.com/watch?v=i83WRl1uLWY 393
38 Find and Confirm Ancestors with DNA Evidence Family Locket Genealogists – Nicole Dyer https://www.youtube.com/watch?v=DGLpV3aNuZI 144
39 How To Make A DNA Network Graph Family Locket Genealogists – Nicole Dyer https://www.youtube.com/watch?v=MLm_dVK2kAA 201
40 Create A Family Tree With Your DNA Matches-Use Lucidchart To Create A Picture Worth A Thousand Words Family Locket Genealogists – Robin Wirthlin https://www.youtube.com/watch?v=RlRIzcW-JI4 270
41 Charting Companion 7 – DNA Edition Family Tree Maker https://www.youtube.com/watch?v=k2r9rkk22nU 316

 

42 Family Finder Chromosome Browser: How to Use FamilyTreeDNA https://www.youtube.com/watch?v=w0_tgopBn_o 750

 

 

43 FamilyTreeDNA: 22 Years of Breaking Down Brick Walls FamilyTreeDNA https://www.familysearch.org/rootstech/session/familytreedna-22-years-of-breaking-down-brick-walls Not available
44 Review of Autosomal DNA, Y-DNA, & mtDNA FamilyTreeDNA  – Janine Cloud https://www.youtube.com/watch?v=EJoQVKxgaVY 77
45 Who Is FamilyTreeDNA? FamilyTreeDNA – Bennett Greenspan https://www.youtube.com/watch?v=MHFtwoatJ-A 2946
46 Part 1: How to Interpret Y-DNA Results, A Walk Through the Big Y FamilyTreeDNA – Casimir Roman https://www.youtube.com/watch?v=ra1cjGgvhRw 684

 

47 Part 2: How to Interpret Y-DNA Results, A Walk Through the Big Y FamilyTreeDNA – Casimir Roman https://www.youtube.com/watch?v=CgqcjBD6N8Y

 

259
48 Big Y-700: A Brief Overview FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=IefUipZcLCQ 96
49 Mitochondrial DNA & The Million Mito Project FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=5Zppv2uAa6I 179
50 Mitochondrial DNA: What is a Heteroplasmy FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=ZeGTyUDKySk 57
51 Y-DNA Big Y: A Lifetime Analysis FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=E6NEU92rpiM 154
52 Y-DNA: How SNPs Are Added to the Y Haplotree FamilyTreeDNA – Janine Cloud https://www.youtube.com/watch?v=CGQaYcroRwY 220
53 Family Finder myOrigins: Beginner’s Guide FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=VrJNpSv8nlA 88
54 Mitochondrial DNA: Matches Map & Results for mtDNA FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=YtA1j01MOvs 190
55 Mitochondrial DNA: mtDNA Mutations Explained FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=awPs0cmZApE 340

 

56 Y-DNA: Haplotree and SNPs Page Overview FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=FOuVhoMD-hw 432
57 Y-DNA: Understanding the Y-STR Results Page FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=gCeZz1rQplI 148
58 Y-DNA: What Is Genetic Distance? FamilyTreeDNA – Katy Rowe https://www.youtube.com/watch?v=qJ6wY6ILhfg 149
59 DNA Tools: myOrigins 3.0 Explained, Part 1 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=ACgY3F4-w78 74

 

60 DNA Tools: myOrigins 3.0 Explained, Part 2 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=h7qU36bIFg0 50
61 DNA Tools: myOrigins 3.0 Explained, Part 3 FamilyTreeDNA – Paul Maier https://www.youtube.com/watch?v=SWlGPm8BGyU 36
62 African American Genealogy Research Tips FamilyTreeDNA – Sherman McRae https://www.youtube.com/watch?v=XdbkM58rXIQ 153

 

63 Connecting With My Ancestors Through Y-DNA FamilyTreeDNA – Sherman McRae https://www.youtube.com/watch?v=xbo1XnLkuQU 200
64 Join The Million Mito Project FamilyTreeDNA (Join link) https://www.familysearch.org/rootstech/session/join-the-million-mito-project link
65 View the World’s Largest mtDNA Haplotree FamilyTreeDNA (Link to mtDNA tree) https://www.familytreedna.com/public/mt-dna-haplotree/L n/a
66 View the World’s Largest Y Haplotree FamilyTreeDNA (Link to Y tree) https://www.familytreedna.com/public/y-dna-haplotree/A link
67 A Sneak Peek at FamilyTreeDNA Coming Attractions FamilyTreeDNA (live) https://www.youtube.com/watch?v=K9sKqNScvnE 1270 + live viewers

 

68 DNA Upload: How to Transfer Your Autosomal DNA Data FamilyTreeDNA -Katy Rowe https://www.youtube.com/watch?v=CS-rH_HrGlo 303
69 Family Finder myOrigins: How to Compare Origins With Your DNA Matches FamilyTreeDNA -Katy Rowe https://www.youtube.com/watch?v=7mBmWhM4j9Y 145
70 Join Group Projects at FamilyTreeDNA FamilyTreeDNA link to learning center article) https://www.familysearch.org/rootstech/session/join-group-projects-at-familytreedna link

 

71 Product Demo – Unraveling your genealogy with reconstructed trees using AutoKinship GEDmatch https://www.youtube.com/watch?v=R7_W0FM5U7c 803
72 Towards a Genetic Genealogy Driven Irish Reference Genome Gerard Corcoran https://www.youtube.com/watch?v=6Kx8qeNiVmo 155

 

73 Discovering Biological Origins in Chile With DNA: Simple Triangulation Gonzalo Alexis Luengo Orellana https://www.youtube.com/watch?v=WcVby54Uigc 40
74 Cousin Lynne: An Adoption Story International Association of Jewish Genealogical Societies https://www.youtube.com/watch?v=AptMcV4_B4o 111
75 Using DNA Testing to Uncover Native Ancestry Janine Cloud https://www.youtube.com/watch?v=edzebJXepMA 205
76 1. Forensic Genetic Genealogy Jarrett Ross https://www.youtube.com/watch?v=0euIDZTmx5g 58
77 Reunited and it Feels so Good Jennifer Mendelsohn https://www.youtube.com/watch?v=X-hxjm7grBE 57

 

78 Genealogical Research and DNA Testing: The Perfect Companions Kimberly Brown https://www.youtube.com/watch?v=X82jA3xUVXk 80
79 Finding a Jewish Sperm Donor Kitty Munson Cooper https://www.youtube.com/watch?v=iKRjFfNcpug 164
80 Using DNA in South African Genealogy Linda Farrell https://www.youtube.com/watch?v=HXkbBWmORM0 141
81 Using DNA Group Projects In Your Family History Research Mags Gaulden https://www.youtube.com/watch?v=0tX7QDib4Cw 165
82 2. The Expansion of Genealogy Into Forensics Marybeth Sciaretta https://www.youtube.com/watch?v=HcEO-rMe3Xo 35

 

83 DNA Interest Groups That Keep ’em Coming Back McKell Keeney (live) https://www.youtube.com/watch?v=HFwpmtA_QbE 180 plus live viewers
84 Searching for Close Relatives with Your DNA Results Mckell Keeney (live) https://www.familysearch.org/rootstech/session/searching-for-close-relatives-with-your-dna-results Not yet available
85 Top Ten Reasons To DNA Test For Family History Michelle Leonard https://www.youtube.com/watch?v=1B9hEeu_dic 181
86 Top Tips For Identifying DNA Matches Michelle Leonard https://www.youtube.com/watch?v=-3Oay_btNAI 306
87 Maximising Messages Michelle Patient https://www.youtube.com/watch?v=4TRmn0qzHik 442
88 How to Filter and Sort Your DNA Matches MyHeritage https://www.youtube.com/watch?v=fmIgamFDvc8 88
89 How to Get Started with Your DNA Matches MyHeritage https://www.youtube.com/watch?v=JPOzhTxhU0E 447

 

90 How to Track DNA Kits in MyHeritage` MyHeritage https://www.youtube.com/watch?v=2W0zBbkBJ5w 28

 

91 How to Upload Your DNA Data to MyHeritage MyHeritage https://www.youtube.com/watch?v=nJ4RoZOQafY 82
92 How to Use Genetic Groups MyHeritage https://www.youtube.com/watch?v=PtDAUHN-3-4 62
My Story: Hope MyHeritage https://www.youtube.com/watch?v=qjyggKZEXYA 133
93 MyHeritage Keynote, RootsTech 2022 MyHeritage https://www.familysearch.org/rootstech/session/myheritage-keynote-rootstech-2022 Not available
94 Using Labels to Name Your DNA Match List MyHeritage https://www.youtube.com/watch?v=enJjdw1xlsk 139

 

95 An Introduction to DNA on MyHeritage MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=1I6LHezMkgc 60
96 Using MyHeritage’s Advanced DNA Tools to Shed Light on Your DNA Matches MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=Pez46Xw20b4 110
97 You’ve Got DNA Matches! Now What? MyHeritage – Daniel Horowitz https://www.youtube.com/watch?v=gl3UVksA-2E 260
98 My Story: Lizzie and Ayla MyHeritage – Elizbeth Shaltz https://www.youtube.com/watch?v=NQv6C8G39Kw 147
99 My Story: Fernando and Iwen MyHeritage – Fernando Hermansson https://www.youtube.com/watch?v=98-AR0M7fFE 165

 

100 Using the Autocluster and the Chromosome Browser to Explore Your DNA Matches MyHeritage – Gal Zruhen https://www.youtube.com/watch?v=a7aQbfP7lWU 115

 

101 My Story : Kara Ashby Utah Wedding MyHeritage – Kara Ashby https://www.youtube.com/watch?v=Qbr_gg1sDRo 200
102 When Harry Met Dotty – using DNA to break down brick walls Nick David Barratt https://www.youtube.com/watch?v=8SdnLuwWpJs 679
103 How to Add a DNA Match to Airtable Nicole Dyer https://www.youtube.com/watch?v=oKxizWIOKC0 161
104 How to Download DNA Match Lists with DNAGedcom Client Nicole Dyer https://www.youtube.com/watch?v=t9zTWnwl98E 124
105 How to Know if a Matching DNA Segment is Maternal or Paternal Nicole Dyer https://www.youtube.com/watch?v=-zd5iat7pmg 161
106 DNA Basics Part I Centimorgans and Family Relationships Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=SI1yUdnSpHA 372
107 DNA Basics Part II Clustering and Connecting Your DNA Matches Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=ECs4a1hwGcs 333
108 DNA Basics Part III Charting Your DNA Matches to Get Answers Origins International, Inc. dba Origins Genealogy https://www.youtube.com/watch?v=qzybjN0JBGY 270
109 2. Using Cluster Auto Painter Patricia Coleman https://www.youtube.com/watch?v=-nfLixwxKN4 691
110 3. Using Online Irish Records Patricia Coleman https://www.youtube.com/watch?v=mZsB0l4z4os 802
111 Exploring Different Types of Clusters Patricia Coleman https://www.youtube.com/watch?v=eEZBFPC8aL4 972

 

112 The Million Mito Project: Growing the Family Tree of Womankind Paul Maier https://www.youtube.com/watch?v=cpctoeKb0Kw 541
113 The Tree of Mankind Age Estimates Paul Maier https://www.youtube.com/watch?v=jjkL8PWAEwk 1638
114 Y-DNA and Mitochondrial DNA Testing Plans Paul Woodbury https://www.youtube.com/watch?v=akymSm0QKaY 168
115 Finding Biological Family Price Genealogy https://www.youtube.com/watch?v=4xh-r3hZ6Hw 137
116 What Y-DNA Testing Can Do for You Richard Hill https://www.youtube.com/watch?v=a094YhIY4HU 191
117 Extending Time Horizons with DNA Rob Spencer (live) https://www.youtube.com/watch?v=wppXD1Zz2sQ 1037 + live viewers
118 DNA for Native American Ancestry by Roberta Estes Roberta Estes https://www.youtube.com/watch?v=EbNyXCFfp4M 212
119 1. Associating Autosomal DNA Segments With Ancestors Roberta Estes (live) https://www.youtube.com/watch?v=_IHSCkNnX48

 

~9000: 1019 + 500 live viewers + 7,400+ Facebook
120 1. What Can I Do With Ancestral DNA Segments? Roberta Estes (live) https://www.youtube.com/watch?v=Suv3l4iZYAQ 325 plus live viewers

 

121 Native American DNA – Ancient and Contemporary Maps Roberta Estes (live) https://www.youtube.com/watch?v=dFTl2vXUz_0 212 plus 483 live viewers

 

122 How Can DNA Enhance My Family History Research? Robin Wirthlin https://www.youtube.com/watch?v=f3KKW-U2P6w 102
123 How to Analyze a DNA Match Robin Wirthlin https://www.youtube.com/watch?v=LTL8NbpROwM 367
124 1. Jewish Ethnicity & DNA: History, Migration, Genetics Schelly Talalay Dardashti https://www.youtube.com/watch?v=AIJyphGEZTA 82

 

125 2. Jewish Ethnicity & DNA: History, Migration, Genetics Schelly Talalay Dardashti https://www.youtube.com/watch?v=VM3MCYM0hkI 72
126 Ask us about DNA Talking Family History (live) https://www.youtube.com/watch?v=kv_RfR6OPpU 96 plus live viewers
127 1. An Introduction to Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=WNhErW5UVKU

 

183
128 2. An Introduction to Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=CRpQ8EVOShI 110

 

129 Common Problems When Doing Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=hzFxtBS5a8Y 68
130 Cross Visual Phasing to Go Back Another Generation Tanner Blair Tolman https://www.youtube.com/watch?v=MrrMqhfiwbs 64
131 DNA Basics Tanner Blair Tolman https://www.youtube.com/watch?v=OCMUz-kXNZc 155
132 DNA Painter and Visual Phasing Tanner Blair Tolman https://www.youtube.com/watch?v=2-eh1L4wOmQ 155
133 DNA Painter Part 2: Chromosome Mapping Tanner Blair Tolman https://www.youtube.com/watch?v=zgOJDRG7hJc 172
134 DNA Painter Part 3: The Inferred Segment Generator Tanner Blair Tolman https://www.youtube.com/watch?v=96ai8nM4lzo

 

100
135 DNA Painter Part 4: The Distinct Segment Generator Tanner Blair Tolman https://www.youtube.com/watch?v=Pu-WIEQ_8vc 83
136 DNA Painter Part 5: Ancestral Trees Tanner Blair Tolman https://www.youtube.com/watch?v=dkYDeFLduKA 73
137 Understanding Your DNA Ethnicity Results Tanner Blair Tolman https://www.youtube.com/watch?v=4tAd8jK6Bgw 518
138 What’s New at GEDmatch Tim Janzen https://www.youtube.com/watch?v=AjA59BG_cF4

 

515
139 What Does it Mean to Have Neanderthal Ancestry? Ugo Perego https://www.youtube.com/watch?v=DshCKDW07so 190
140 Big Y-700 Your DNA Guide https://www.youtube.com/watch?v=rIFC69qswiA 143
141 Next Steps with Your DNA Your DNA Guide – Diahan Southard (live) https://www.familysearch.org/rootstech/session/next-steps-with-your-dna Not yet available

Additions:

142  Adventures of an Amateur Genetic Genealogist – Geoff Nelson https://www.familysearch.org/rootstech/session/adventures-of-an-amateur-genetic-genealogist     291 views

____________________________________________________________

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How to Find RootsTech 2022 Sessions + Other Info You Need to Know

Tomorrow, Thursday, March 3rd is the beginning of RootsTech 2022 which is completely free and entirely virtual this year.

You’ll find a bouquet of speakers from around the world providing sessions in many languages. An auto-translate feature is available through YouTube as well.

I hope you’ve already signed up for RootsTech. If not, here are instructions.

The opening presentation by Steve Rockwood will take place on the “Main Stage, here,” at 10 AM EST.

The Expo Hall opens at the same time, and class sessions begin as well.

The navigation bar is at the top of your page.

New Options

Like last year, RootsTech is offering 15-20 minute sessions, with a few sessions being offered as a series which means there are either two, or three, 15-20 minute sessions that are intended to be viewed serially.

Additionally, some presentations, including several of mine, are live this year. Fingers crossed that Zoom doesn’t act up and technology gremlins don’t attend RootsTech too.

Session Availability

Classes, presentations or sessions, however you refer to them, will be offered for three full days and will be available for some time after as well.

How long they will be available depends on the source of the class/session/presentation. If the presentation is given by a vendor, the vendor’s booths and content won’t be available for as long as sessions presented by individuals.

I don’t know how long keynotes will be available either.

I do know that the RootsTech team told the speakers that their intention is for the sessions to remain online for three years unless they are no longer relevant for some reason.

I’ll explain how to find different classes and create a playlist in a minute. There are a few workarounds that will be very beneficial and several places you’ll want to look to be sure you find everything – including the Expo Hall.

Expo Hall

The Expo Hall, meaning vendor booths, organizations, and supporters will also open at 10 AM EST on Thursday, March 3rd and they will remain open through Saturday, March 5th, closing at 7 PM EST. This is the time that the booth is “staffed.” You can of course stop by anytime. The content in each booth may be available for longer and was last year.

Don’t overlook vendor booths thinking you can only find items for sale there. That’s not the case at all. Many if not most vendors and organizations will also have presentations and other resources available for you there too. What better source to find out about that organization’s tools and how to use them successfully than from the horse’s mouth, or booth, in this case.

Speaker’s Bookstore

There will be a Speaker’s Bookstore this year, and no, you cannot purchase a speaker in the store. You can, however, purchase things the speaker might have to sell, like books or services or whatever is relevant to their specialty. The Speaker’s Bookstore will be found in the Expo Hall.

This is a great way to support the speakers, plus, don’t forget to “like” sessions you enjoy.

Sessions

There are several ways to navigate the RootsTech website, and not all types of sessions are in the same place, so I want to be sure you know how to find everything and how to create a playlist for yourself. Furthermore, RootsTech is still trying to iron out some last-minute issues, so I’ve detailed ways I’ve found to deal with challenges.

Please also note that last year’s 2021 sessions are still available as well. Here’s a comprehensive list of 2021 DNA sessions that I created for your convenience, with links to the session recordings.

Live Sessions Calendar

To view all of the live sessions, including several roundtables, in one place, go to the Calendar, here.

You’ll notice that there are three days, and three groups of presentations, with 9 total sets of live sessions for you to choose from. Some sessions are scheduled “very late” in the US, but remember that late here is early someplace else and vice versa. RootsTech has a worldwide audience.

Be sure to review each group and make your selections.

In order to add a session to your playlist, click on the little “+” sign. It’s OK if you select multiple events for the same timeslot. You’ll just have to choose between them later, or watch some as recordings. All live sessions are being recorded. I don’t know how soon they will be available for viewing.

The PlayList can also serve as a “to do” list for after RootsTech as well. Just uncheck the ones you’ve already seen.

I like to watch live sessions because the speakers often provide time-sensitive information. You may also have the opportunity to ask chat questions of live presenters.

Session Search

Let’s say you’re interested in viewing presentations of a specific speaker.

Click to enlarge any image

Click on “Sessions,” and you’ll see the search box. Type the name of the speaker or any keyword into the search box. Be aware that the search/filter function is one of the aspects that the RootsTech team is still diligently working on. We’ll be discussing different ways to find things so you can be positive you’ve found what’s relevant for you.

Session Filters

On the left side, you see a list of filters. You can use these filters alone, in groups, or in conjunction with the search feature.

I suggest viewing each drop down and experimenting a bit, especially combinations.

I typed the word “dna” in the search box, selected the DNA category under Topic, plus selected only 2022 and I see a total of 151 DNA sessions. That’s a smorgasbord!!!!

Adding 2021 for both years shows a total of 278 sessions.

You could add language or other filters as well.

Series Filter

The “Series Episode” filter under “Content Type” isn’t showing all of the sessions that are a series of 2 or 3 contiguous sessions. My series sessions aren’t showing yet (as of this writing,) but some series sessions are. I hope this will be fixed soon.

Doggone Pesky Bugs

The searches and filters aren’t working consistently correctly right now. I only mention this because you may not see everything available for individual speakers, vendors or categories, so try various avenues, meaning search and filter in multiple ways to be sure you’re seeing everything relevant.

Creating a virtual event to serve over a million attendees is a daunting task, and the team really is working hard to resolve issues.

Add to the PlayList

When you add a session to your playlist, the “+” becomes an “X”.

I definitely want to hear what Paul Maier has to say about the Million Mito Project! You can read more about the Million Mito Project here and here.

Using Your PlayList

Your PlayList can be viewed at the top under the menu.

Your sessions will be listed in chronological order, generally with the day and time displayed, but not always. Hmmm…

I noticed that the first session showing, “The Million Mito Project” by Paul Maier doesn’t display a date or time, so I clicked to view the session. It is scheduled for 8 PM on March 2nd, before the conference actually opens, so be sure to check the session times. I’ll check back later today to be sure this is accurate.

I heartily recommend putting this session on your PlayList.

As a Million Mito team member, I might or might or might not be writing a short article soon on this very topic! 😊

Innovators Portal

Take a look at the Innovators Portal where you’ll find several “incognito sessions.”

I haven’t found all of these sessions listed elsewhere, and several are quite interesting.

This is a great place to see what vendors are doing.

Y DNA age estimates – OMG finally! I’m adding this one to my PlayList for sure!!!

You can also view your PlayList by clicking on the little “play” shortcut arrow.

My Sessions

I want to be sure you can find and view my sessions.

I have 4 sessions this year, two of which are actually a series of three sessions each. If you’re counting, yes, that means I’ve created a total of 8 sessions. If you’re thinking, “she’s nuts,” you’d be right. I’ll likely never do this again. It’s just so easy to get inspired, but then the weeks of work comes later.

If you’d like to view my autosomal DNA session from 2021, DNA Triangulation: What, Why and How, click here.

My 2021 session, Revealing Your Mother’s Ancestors and Where They Came From lives in the RootsTech DNA Learning Center, and you can watch it here.

I’m very pleased to offer four sessions in 2022 that I’ve listed in schedule order, below.

DNA for Native American Ancestryclick here to add to PlayList and view.

Thursday, March 3rd – 10 AM EST

I’ll be talking about the contents of DNA for Native American Genealogy, my new book. I wrote this book to help people identify their Native American ancestors, or put those rumors to rest.

There is a myriad of ways to approach this challenge, beginning with your family history, then using several genetic tools. The book covers methodology, geography, ethnicity results, Y DNA, mitochondrial DNA, autosomal DNA, your cousins as gold nuggets, third-party tools, identifying that elusive Native ancestor, and more.

This session is recorded, so you can watch it anytime after the conference opens.

Native American DNA – Ancient and Contemporary Mapsclick here to add to PlayList and view.

Thursday, March 3rd – 2 PM EST LIVE

One of my very favorite parts of writing the book was working with ancient DNA which informs our understanding of where specific groups of people lived, where they migrated – and where their descendants are found today.

Whether you’re interested in Native American heritage, history, anthropology or you’re a map junkie – join me because we are going to have a GREAT time.

Associating Autosomal DNA Segments With Ancestorsclick here to add to PlayList and view.

Friday, March 4th – 10 AM LIVE, Series

This session is a series of three 20-minute sessions that you can view by simply signing in to the first session. Each individual session will have a short Q&A following the session before moving on to the next one. This series will be recorded live so that the individual sessions can be viewed later, either together or separately.

I discuss why segments are important to genealogy, how to find ancestral segments at each major DNA testing vendor, plus GEDmatch, and identifying which ancestor(s) those segments descend from. You might be surprised to learn that I utilize Ancestry in this process too, even though they don’t have a chromosome browser.

After figuring out how to associate your DNA segments with specific ancestors, there’s so much more you can do! I hope you’ll join me for this next session too!

What Can I DO With Ancestral DNA Segments?click here to add to PlayList and view.

Friday March 4th – 2 PM LIVE, Series

This session is a series of three 20-minute sessions that you can view by simply signing in to the first session. Each session will have a short Q&A following the session before moving on to the next one. This live series will be recorded so that the individual sessions can be viewed later, either together or separately.

In this series, I review the more advanced tools at the DNA testing vendors, plus third-party tools like Genetic Affairs, DNAPainter and GEDmatch.

The great thing is that this painter’s pallet of tools has automated what we had been doing manually for several years – and every vendor and tool has something unique to offer genealogists.

Your Turn

Now it’s time to create your PlayList of sessions and make your RootsTech viewing plan. Hope to “see” you there!

Earlier RootsTech 2022 Articles

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Share the Love!

You’re always welcome to forward articles or links to friends and share on social media.

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You Can Help Keep This Blog Free

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

DNA Purchases and Free Uploads

Genealogy Products and Services

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AutoKinship at GEDmatch by Genetic Affairs

Genetic Affairs has created a new version of AutoKinship at GEDmatch. The new AutoKinship report adds new features, allows for more kits to be included in the analysis, and integrates multiple reports together:

  • AutoCluster – the autoclusters we all know and love
  • AutoSegment – clusters based on segments
  • AutoTree – reconstructed tree based on GEDCOM files of you and your matches, even if you don’t have a tree
  • AutoKinship – the original AutoKinship report provided genetic trees. The new AutoKinship report includes AutoTree, combines both, and adds features called AutoKinship Tree. (Trust me on this one – you’ll see in a minute!)
  • Matches
    • Common Ancestors with your ancestors
    • Common Ancestors between matches, even if they don’t match your tree
    • Common Locations

Maybe the best news is that some reports provide automatic triangulation because, at GEDmatch, it’s possible to not only see how you match multiple people, but also if those people match each other on that same segment. Of course, triangulation requires three-way matching in addition to the identification of common ancestors which is part of what AutoKinship provides, in multiple ways.

Let’s step through the included reports and features one at a time, using my clusters as an example.

Order Your Report

As a Tier 1 GEDmatch customer, sign in, select AutoKinship and order your report.

Note that there are now two clustering settings, the default setting and one that will provide more dense clusters. The last setting is the default setting for AutoKinship, since it has been shown to produce better AutoKinship results.

You can also select the number of kits to consider. Since this tool is free with a GEDmatch Tier 1 subscription, you can start small and rerun if you wish, as often as you wish.

Currently, a maximum of 500 matches can be included, but that will be increased to 1000 in the future. Your top 500 matches will be included that fall within the cM matching parameters specified.

I’m leaving this at the maximum 400 cM threshold, so every match below that is included. I generally leave this default threshold because otherwise my closest matches will be in a huge number of clusters which may cause processing issues.

For a special use case where you will want to increase the cM threshold, see the Special Use Cases section near the end of this article.

You can select a low number of matches, like 25 or 50 which is particularly useful if you want to examine the closest matches of a kit without a tree.

Keep in mind that there is currently a maximum processing time of 10 minutes allowed per report. This means that if you have large clusters, which are the last ones processed, you may not have AutoKinship results for those clusters.

This also means that if you select a high cM threshold and include all 500 allowable matches, you will receive the report but the AutoKinship results may not be complete.

When finished, your report will be delivered to you as a download link with an attached zipped file which you will need to save someplace where you can find it.

Unzip

If you’re a PC user, you’ll need to unzip or extract the files before you can use the files. You’ll see the zipper on the file.

If you don’t extract the contents, you can click on the file to open which will display a list of the files, so it looks like the files are extracted, but they aren’t.

You can see that the file is still zipped.

You can click on the html file which will display the AutoCluster correctly too, but when you click on any other link within that file, you’ll receive this error message if the file is still zipped.

If this happens to you, it means the file is still zipped. Close the files you have open, right click on the yellow zipped file folder and “extract all.”

Then click on the HTML link again and everything should work.

Ok, on to the fun part – the tools.

Tools

I’ve written about most of these tools individually before, except for the new combinations of course. I’ve put all of the Genetic Affairs Tools, Instructions and Resources in one article that you can find here.

I recommend that you take a look to be sure you’re using each tool to its greatest advantage.

AutoCluster

Click on the html file and watch your AutoCluster fly into place. I always, always love this part.

The first thing I noticed about my AutoCluster at GEDmatch is that it’s HUGE! I have a total of 144 clusters and that’s just amazing!

Information about the cluster file, including the number of matches, maximum and minimum cM used for the report, and minimum cluster size appears beneath your cluster chart.

22 people met the criteria but didn’t have other matches that did, so they are listed for my review, but not included in the cluster chart.

At first glance, the clusters look small, but don’t despair, they really aren’t.

My clusters only look small because the tool was VERY successful, and I have many matches in my clusters. The chart has to be scaled to be able to display on a computer monitor.

New Layout

Genetic Affairs has introduced a new layout for the various included tools.

Each section opens to provide a brief description of the tool and what is occurring. This new tool includes four previous tools plus a new one, AutoCluster Tree, as follows:

AutoCluster

AutoCluster first organizes your DNA matches into shared match clusters that likely represent branches of your family. Everyone in a cluster will likely be on the same ancestral line, although the MRCA between any of the matches and between you and any match may vary. The generational level of the clusters may vary as well. One may be your paternal grandmother’s branch, another may be your paternal grandfather’s father’s branch.

AutoSegment

AutoSegment organizes your matches based on triangulating segments. AutoSegment employs the positional information of segments (chromosome and start and stop position) to identify overlapping segments in order to link DNA matches. In addition, triangulated data is used to collaborate these links. Using the user defined minimum overlap of a DNA segment we perform a clustering of overlapping DNA segments to identify segment clusters. The overlap is calculated in centimorgans using human genetic recombination maps. Another aspect of overlapping segments is the fact that some regions of our genome seem to have more matches as compared to the other regions. These so-called pile-up areas can influence the clustering. The removal of known pile-up regions based on the paper of Li et al 2014 is optional and is not performed for this analysis However, a pileup report is provided that allows you to examine your genome for pileup regions.

AutoTree

By comparing the tree of the tested person and the trees from the members of a certain cluster, we can identify ancestors that are common amongst those trees. First, we collect the surnames that are present in the trees and create a network using the similarity between surnames. Next, we perform a clustering on this network to identify clusters of similar surnames. A similar clustering is performed based on a network using the first names of members of each surname cluster. Our last clustering uses the birth and death years of members of a cluster to find similar persons. As a consequence, initially large clusters (based on the surnames) are divided up into smaller clusters using the first name and birth/death year clustering.

AutoKinship

AutoKinship automatically predicts family trees based on the amount of DNA your DNA matches share with you and each other. Note that AutoKinship does not require any known genealogical trees from your DNA matches. Instead, AutoKinship looks at the predicted relationships between your DNA matches, and calculates many different paths you could all be related to each other. The probabilities used by this AutoKinship analysis are based on simulated data for GEDmatch matches and are kindly provided by Brit Nicholson (methodology described here). Based on the shared cM data between shared matches, we create different trees based on the putative relationships. We then use the probabilities to test every scenario which are then ranked.

AutoKinship Tree

Predicted trees from the AutoTree analysis are based on genealogical trees shared by the DNA matches and, if available, shared by the tested person. The relationships between DNA matches based on their common ancestors as provided AutoTree are used to perform an AutoKinship analysis and are overlayed on the predicted AutoKinship tree.

AutoKinship Tree is New

AutoKinship Tree is the new feature that combines the features of both AutoTree and AutoKinship. You receive:

  • Common ancestors between you and your matches
  • Trees of people who don’t share your common ancestors but share ancestors with each other
  • Combined with relationship predictions and
  • A segment analysis

Of course, the relative success of the tree tools depends upon how many people have uploaded GEDCOM files.

Big hint, if you haven’t uploaded your family tree, do so now. If you are an adoptee or searching for a parent and don’t know who your ancestors are, AutoKinship Tree does its best without your tree information, and you will still benefit from the trees of others combined with predicted relationships based on DNA.

It’s easier to show you than to tell you, so let’s step through my results one section at a time.

I’m going to be using cluster 5 which has 32 members and cluster 136 which has 8 members. Ironically, cluster 136 is a much more useful cluster, with 8 good matches, than cluster 5 which includes 32 people.

Results of the AutoKinship Analyses

As you scroll down your results, you’ll see a grid beneath the Explanation area.

It’s easy to see which cluster received results for each tool. My cluster 5 has results in each category, along with surnames. (Notice that you can search for surnames which displays only the clusters that contain that surname.)

I can click on each icon to see what’s there waiting for me.

Additionally, you can click at the top on the blue middle “here” for an overview of all common ancestors. Who can resist that, right?

Click on the ancestor’s name or the tree link to view more information.

You can also view common locations too by clicking on the blue “here” at far right. A location, all by itself, is a HUGE hint.

Clicking on the tree link shows you the tree of the tester with ancestors at that location. I had several others from North Carolina, generally, and other locations specifically. Let’s take a look at a few examples.

Common Ancestor Clusters

Click on the first blue link to view all common ancestors.

Common Ancestor Clusters summarize all of the clusters by ancestor. In other words, if any of your matches have ancestors in common in their tree, they are listed here.

These clusters include NOT just the people who share ancestors in a tree with you, but who also share known ancestors with each other BUT NOT YOU. That may be incredibly important when you are trying to identify your ancestors – as in brick walls. Your ancestors may be their ancestors too, or your common segments might lead to your common ancestors if you complete their tree.

There are other important hints too.

In my case, above, Jacob Lentz is my known ancestor.

However, Sarah Barron is not my ancestor, nor is John Vincent Dodson. They are the descendants of my Dodson ancestor though. I recognized that surname and those people. In other instances, recognizing a common geography may be your clue for figuring out how you connect.

In the cluster column at left, you can see the cluster number in which these people are found.

Common Locations Table

Clicking on the second link provides a Common Location Table

Some locations are general, like a state, and others are town, county or even village names. Whatever people have included in their GEDCOM files that can be connected.

Looking at this first entry, I recognize some of the ancestral surnames of Karen’s ancestors. The fact that we are found in the same cluster and share DNA indicates a common ancestor someplace.

Check for this same person in additional locations, then, look at their tree.

Ok, back to the AutoKinship Analysis Table and Cluster 136.

Cluster 136

I’m going to use Cluster 136 as an example because this cluster has generated great reports using all of the tools, indicated by the icon under each column heading. Some clusters won’t have enough information for everything so the tools generate as much as possible.

Scrolling down to Cluster 136 in the AutoCluster Information report, just beneath the list of clusters, I can see my 8 matches in that cluster.

Of course, I can click on the links for specific information, or contact them via email. At the end of this article in the “Tell Me Everything” section, I’ll provide a way to retrieve as much information as possible about any one match. For now, let’s move to the AutoTree.

Cluster 136 AutoTree

Clicking on the icon under AutoTree shows me how two of the matches in this cluster are related to each other and myself.

Note that the centimorgan badges listed refer to the number of cM that I share with each of these people, not how much they share with each other.

Click on any of the people to see additional information.

When I click on J Lentz m F Moselman, a popup box shows me how this couple is related to me and my matches.

Of course, you can also view the Y DNA or mitochondrial DNA haplogroups if the testers have provided that information when they set up their GEDmatch profile information.

Just click on the little icons.

If the testers have not provided that information, you can always check at FamilyTreeDNA or 23andMe, if they have tested at either of those vendors, to view their haplogroup information.

Today, GEDmatch kit numbers are assigned randomly, but in the early days, before Genesis, the leading letter of A meant AncestryDNA, F or T for FamilyTreeDNA, M for 23andMe and H for MyHeritage. If the kit number is something else, perform a one-to-one or a one-to-many report which will display the source of their DNA file.

The small number, 136 in this case, beside the cM number indicates the cluster or clusters that these people are members of. Some people are members of multiple clusters

Let’s see what’s next.

Cluster 136 Common Ancestors

Clicking on the Ancestors icon provides a report that shows all of the Ancestor Clusters in cluster 136.

The difference between this ancestor chart and the larger chart is that this only shows ancestors for cluster 136, while the larger chart shows ancestors for the entire AutoCluster report.

Cluster 136 Locations

All of the locations shown are included in trees of people who cluster together in cluster 136. Of course, this does NOT mean that these locations are all relevant to cluster 136. However, finding my own tree listed might provide an important clue.

Using the location tool, I discover 5 separate location clusters. This location cluster includes me with each tester’s ancestors who are found in Montgomery County, Ohio.

The difference between this chart for cluster 136 only and the larger location chart is that every location in this chart is relevant for people who all cluster together meaning we all share some ancestral line.

Viewing the trees of other people in the cluster may suggest ancestors or locations that are essential for breaking down brick walls.

Cluster 136 AutoKinship

Clicking on the anchor in the AutoKinship column provides a genetically reconstructed tree based on how closely each of the people match me, and each other. Clearly, in order to be able to provide this prediction, information about how your matches also match each other, or don’t, is required.

Again, the cM amount shown is the cM match with me, not with each other. However, if you click on a match, a popup will be shown that shows the shared cM between that person and the other matches as well as the relationship prediction between them in this tree

So, Bill matches David with a total of 354.3 cM and they are positioned as first cousins once removed in this tree. The probability of the match being a 1C1R (first cousin once removed) is 64.9%, meaning of course that other relationships are possible.

Note that Bill and David ALSO share a segment with me in autosegment cluster 185, on chromosome 3.

It’s important to note that while 136 is the autocluster number, meaning that colored block on the report, WITHIN clusters, autosegment clusters are formed and numbered. 

Each autosegment cluster receives its own number and the numbers are for the entire report. You will have more autosegment clusters than autoclusters, because at least some of the colorful autoclusters will contain more than one segment cluster.

Remember, autoclusters are those colorful boxes of matches that fly into place. Autosegment clusters are the matching triangulated clusters on chromosomes and they are represented by the blue bars, shown below.

AutoCluster 136 contains 5 different autosegment clusters, but Bill is only included in one of those autosegment clusters.

You’ll notice that there are some people, like Robin at the bottom, who do match some other people in the cluster, but either not enough people, or not enough overlapping DNA to be included as an autocluster member.

The small colored chromosomes with numbers, boxed in red, indicate the chromosome on which this person matches me.

If you click on that chromosome icon, you’ll see a popup detailing everyone who matches me on that segment.

Note that in some cases a member of a segment cluster, like Robin, did not make it in the AutoCluster cluster. You can spot these occurrences by scrolling down and looking at the cluster column which will then be empty for that particular match.

Reconstructed AutoKinship Trees in Most Likely Order

Scrolling down the page, next we see that we have multiple possible trees to view. We are shown the most likely tree first.

Tree likelihood is constructed based on the combined probability of my matching cM to an individual plus their likely relationship to each other based on the amount of DNA they share with each other as well.

In my case, all of the first 8 trees are equally as likely to be accurate, based on autosomal genetic relationships only. The ninth tree is only very slightly less likely to be accurate.

The X chromosome is not utilized separately in this analysis, nor are Y or mitochondrial DNA haplogroups if provided.

DNA Relationship Matrix

Continuing to scroll down, we next see the DNA matrix that shows relationships for cluster 5 in a grid format. Click on “Download Relationship Matrix” to view in a spreadsheet.

Keep scrolling for the next view which is the Individual Segment Cluster Information

Individual Segment Cluster Information

Remember that we are still focused on only one cluster – in this case, cluster 136. Each cluster contains people who all match at least some subset of other people in the cluster. Some people will match each other and the tested person on the same chromosome segment, and some won’t. What we generally see within clusters are “subclusters” of people who match each other on different chromosomes and segments. Also, some matches from cluster 136 might match other people but those matches might not be a member of cluster 136.

In autocluster 136, I have 14 DNA segments that converge into 5 segment clusters with my matches. Here’s segment cluster 185 that consists of two people in addition to me. Note that for individuals to be included in these segment clusters at GEDmatch, they must triangulate with people in the same segment cluster.

From left to right, we see the following information:

  • AutoCluster number 136, shown below

  • Segment cluster 185. This is a segment cluster within autocluster 136.

  • Segment cluster 185 occurs on chromosome 3, between the designated start and stop locations.
  • The segment representation shows the overlapping portions of the two matches, to me. You can easily see that they overlap almost exactly with each other as well.
  • The SNP count is shown, followed by the name and cM count.

Cluster 136 AutoKinship Tree

The AutoKinship Tree column is different from the AutoKinship column in one fundamental way. The new AutoKinship Tree feature combines the genealogical AutoTree and the genetic AutoKinship output together in one report.

You can see that the “prior” genealogical tree information that one of my matches also descends from Jacob Lentz (and wife, if you click further) has now been included. The matches without trees have been reconstructed around the known genealogy based on how they match me and each other.

I was already aware of how I’m related to Bill, David, *C and *R, but I don’t know how I am related to these other people. Based on their kit identifier, I can go to the vendor where they tested and utilize tools there, and I can check to see if they have uploaded their DNA files elsewhere to discover additional records information or critical matches. Now at least I know where in the tree to search.

Cluster 136 AutoSegment

Clicking on AutoSegment provides you with segment information. Each cluster is painted on your chromosomes.

By hovering over the darkly colored segments, which are segment clusters, you can view who you match, although to view multiple matches, continue scrolling.

In the next section, you’ll see the two segment clusters contained wholly within cluster 136.

Following that is the same information for segment clusters partially linked to cluster 136, but not contained wholly within 136.

Bonus – Tell Me Everything – Individual Match Clusters

We’ve focused specifically on the AutoKinship tools, but if you’re interested in “everything” about one specific match, you can approach things from that perspective too. I often look at a cluster, then focus on individuals, beginning with those I can identify which focuses my search.

If you click on any person in your match list, you’ll receive a report focusing on that person in your autocluster.

Let’s use cousin Bill as an example. I know how he’s related to me.

You can choose to display your chosen cluster by:

  • Cluster
  • Number of shared matches
  • Shared cM with the tester
  • Name

I would suggest experimenting with all of the options and see which one displays information that is most useful to the question you’re trying to answer.

Beneath the cluster for Bill, you’ll see the relevant information about the cluster itself. Bill has cluster matches on two different chromosomes.

The AutoCluster Cluster member Information report shows you how much DNA each cluster member shares with the tested person, which is me, and with each other cluster member. It’s easy to see at a glance who Bill is most closely related to by the number of cMs shared.

Only one of Bill’s chromosomes, #3, is included in clusters, but this tells me immediately that this/these segments on chromosome 3 triangulate between me, Bill, and at least one other person.

Segments shown in orange (chromosome 22) match me, but are not included in a cluster.

Special Use Cases – Unknown People

For adoptees and people trying to figure out how they are related to closer relatives, especially those without a tree, this new combined AutoKinship tool is wonderful.

400 cM is the upper default limit when running the report, meaning that close family members will not be included because they would be included in many clusters. However, you can make a different selection. If you’re trying to determine how several closely related people intersect, select a high threshold to include everyone.

Select a lower number of matches, like 25 or 50.

In this example, ‘no limit” was selected as the upper total match threshold and 25 closest matches.

AutoKinship then constructs a genetic tree and tells you which trees are possible and most likely. If some people do have trees, that common ancestor information would be included as well.

Note that when matches occur over the 400 cM threshold, there will be too many common chromosome matches so the chromosome numbers are omitted. Just check the other reports.

This tool would have helped a great deal with a recent close match who didn’t know how they are related to my family.

You can see this methodology in action and judge its accuracy by reconstructing your own family, assuming some of your known family members have uploaded to GEDmatch. Try it out.

It’s a Lot!

I know there’s a lot here to absorb, but take your time and refer back to this article as needed.

This flexible new tool combines DNA matching, genealogy trees, genetic trees, locations, autoclusters, a chromosome browser, and triangulation. It took me a few passes and working with different clusters to understand and absorb the information that is being provided.

For people who don’t know who their parents or close relatives are, these tools are amazing. Not only can they determine who they are related to, and who is related to each other, but with the use of trees, they can view common ancestors which provides possible ancestors for them too.

For people painting their triangulated segments at DNAPainter, AutoKinship provides triangulation groups that can be automatically painted using the Cluster Auto Painter, here, plus helps to identify that common ancestor. You can read more about DNAPainter, here.

For people seeking to break down brick walls, AutoKinship Tree provides assistance by providing tree matching between your matches for common ancestors NOT IN YOUR TREE, but that ARE in theirs. Your brick walls are clearly not (yet) identified in your tree, although that’s our fervent hope, right?

Even if your matches’ trees don’t go far enough back, as a genealogist, you can extend those trees further to hopefully reveal a previously unknown common ancestor.

The Best Things You Can Do

Aside from DNA testing, the three best things you can do to help yourself, and your clusters are:

  • Upload your GEDCOM file, complete with locations, so you have readily available trees. Ask your matches to do so as well. Trees help you and others too.
  • Encourage people you match at Ancestry who provides no chromosome segment information or chromosome browser to upload a copy of their DNA files and tree.
  • Test your family members and cousins, and encourage them to upload their DNA and their trees. Offer to assist them. You can find step-by-step download/upload instructions here.

Have fun!

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DNA Shows Peter Johnson and Mary Polly Philips Are My Relatives, But Are They My Ancestors? – 52 Ancestors #350

One of the requests by several people for 2022 article topics revolved in some way around solving challenges and showing my work.

In this case, I’m going to show both my work and the work of a newly-discovered cousin, Greg Simkins.

Let’s start by reminding you of something I said last week in Darcus Johnson (c1750-c1835) Chain Carrier – Say What??.

Darcus is reported in many trees to be the daughter of Peter Johnson (Johnston, Johnstone) and his wife Mary Polly Phillips. Peter reportedly lived in Pennsylvania and died in Allegheny County, PA. However, I am FAR from convinced that this couple was Darcus’s parents.

The distance from Shenandoah County, VA to Allegheny Co., PA is prohibitive for courting.

The Shenandoah County records need to be thoroughly researched with various Johnson families reconstructed. I’m hoping that perhaps someone has already done that and a Johnson family was living not terribly far from Jacob Dobkins father, John Dobkins. That would be the place to start.

Greg, Peter Johnson’s descendant through son James reached out to me.

Hi Roberta, I read your essay today on Dorcas Johnson. I wanted to write to you because I am a descendant of Dorcas’s brother James and have DNA matches to support our connection.

Clearly, I was very interested, but I learned long ago not to get too excited.

Then, Greg kindly shared his tree and DNA results with me. He was also generous enough to allow me to incorporate his information into this article. So yes, this article is possible entirely thanks to Greg.

I was guardedly excited about Greg’s communication, but I wasn’t prepared for the HUGE shock about to follow!

Whoa!!!

Greg has done his homework and stayed after school.

First, he tracked the descendants of Peter through all of his children, to present, where possible, and added them into his trees at the genealogy vendors. The vendors can do much better work for you with as much ammunition as you can provide.

Second, he has doggedly tracked matches at MyHeritage, FamilyTreeDNA, Ancestry and GEDmatch that descend through Peter Johnson and Mary Polly Phillips’s children. By doggedly, I mean he has spent hundreds to thousands of hours by his estimation – and based on what I see, I would certainly agree. In doing so, he pushed his own line back from his great-great-grandmother, Elizabeth Johnson, three generations to Peter Johnson and Mary Polly Phillips – and proved its accuracy using DNA.

Altogether, Greg has identified almost 250 matches that descend from Peter Johnson and Mary Polly Phillips, and mapped those segments across his chromosomes.

Greg made notes for each match by entering the number of matching cMs into their profile names as a suffix in his tree. For example, “David Johnson 10cM” instead of “David Johnson Jr.” or Sr.  That way, it’s easy to quickly see who is a match and by how much. Brilliant! I’m adopting that strategy. It won’t affect what other people see, because no living people are shown in trees.

Of course, DNA is on top of traditional genealogical research that we are all familiar with that connects people via deeds, wills, and other records.

Additionally, Greg records research information for individuals as a word document or pdf file and attaches them as documents to the person’s profile in his tree. His tree is searchable and shareable, so this means those resources are available to other people too. We want other researchers to find us and our records for EXACTLY this reason.

One thing to note is that if you are using Ancestry and use the Notes function on profiles, the notes don’t show to people with whom you share your tree, but links, sources and attached documents do.

Greg has included both “Other Sources” and “Web Links” below.

Click images to enlarge

For example, if I click on Greg’s link to Historic Pittsburg, I see the land grant location for Peter Johnson. Wow, this was unexpected.

Ok, I love maps and I’m hooked. Notice the names of the neighbors too. You’ll see Applegate again. Also, note that Thomas Applegate sold his patent to Richard Johnson. Remember the FAN club – friends and neighbors.

Ok, back to DNA for now.

The Children

Ancestors with large families are the best for finding present-day DNA matches. Of course, that’s because there are more candidates. More descendants and that means more people who might test someplace. This is also why you want to be sure to have your DNA in all 4 major DNA vendors, FamilyTreeDNA, MyHeritage, Ancestry, and 23andMe, plus GEDmatch.

This is a portion of Greg’s tree that includes the children of Peter Johnson and Mary Polly Phillips. Note that two Johnson females married Dobkins men. I’ve always suspected that Margaret Johnson and Dorcas Johnson were sisters, but unless we could use mitochondrial DNA, or figure out who the parents of either Peter or Mary are, there’s no good way to prove it.

We’re gathering some very valuable evidence.

At Ancestry, Greg has 85 matches on his ThruLines for Peter Johnson and Mary Polly Phillips, respectively.

  • Of course, Greg has the most matches for his own line through Peter’s son James Johnson (1752-1826) who married Elizabeth Lindsay and died in Lawrence County, IL: 35 matches.
  • Next is Margaret Johnson (1780-1833) who married Evan Dobkins in Dunmore County, VA, brother of my ancestor, Jacob Dobkins. She probably died in Cocke County, TN: 25 matches. Dorcas named one of her children Margaret and Margaret may have named one of her children Dorcas.
  • Solomon Johnson (1765-1843) married Frances Warne and stayed in Allegheny County, PA: 8 matches. Notice one of Peter’s neighbors was a Warner family. Dorcas named one of her children Solomon, a fairly unusual name.
  • Mary Johnson (1770-1833) married Garrett Wall Applegate and died in Harrison County, IN: 7 matches. The Applegates were Peter Johnson’s neighbors and Garrett served in the Revolutionary War in the 8th VA Regiment. Clearly, some of these settlers came from or spent time in Virginia.
  • Dorcas Johnson (c1750-c1835) married Jacob Dobkins in Dunmore County, VA and died in Claiborne County, TN: 5 matches.
  • Peter Johnson (1753-1840) married Eleanor “Nellie” Peter and died in Jefferson County, KY: 4 matches.
  • Richard D. Johnson (1752-1818) married Hannah Dungan and Elizabeth Nash: 2 matches.

Unfortunately, since most of those matches are between 7 and 20 cM, and Ancestry does not display shared matches under 20 cM, we can’t use Ancestry’s comparison tool to see if these people also match each other. That’s VERY unfortunate and extremely frustrating.

Greg matches more people from this line at MyHeritage, GEDmatch and FamilyTreeDNA, and thankfully, those vendors all three provide segment information AND shared match information.

Cousins Are Critical

While Greg, unfortunately, does not match me, he does match several of my cousins whose tests I manage.

Two of those cousins both descend from Darcus Johnson through her daughter Jenny Dobkins, through her daughter Elizabeth Campbell, through her daughter Rutha Dodson, through her sons John Y. Estes and Lazarus Estes, respectively.

Another descends through Jenny Dobkins son, William Newton Campbell for another 5 generations. These individuals all match on a 17 cM segment of Chromosome 20.

Other known cousins match Greg on different chromosomes.

Looking at their shared matches at FamilyTreeDNA, we find more Dobkins, Dodson and Campbell cousins, some that were previously unknown to me. One of those cousins also descends through William Newton Campbell’s daughter for another 4 generations and matches on the same segment of chromosome 20.

DNAPainter

Emails have been flying back and forth between me and Greg, each one with some piece of information that one of us has found that we want to be sure the other has too. Having research buddies is wonderful!

Then, Greg sent a screenshot of a portion of his chromosome 20 from DNAPainter that includes the DNA of the cousins mentioned above. I didn’t realize Greg was using DNAPainter. It’s an understatement to say I’m thrilled because DNAPainter does the cross-vendor triangulation work automatically for you.

Just look at all of those matches that carry this Johnson/Phillips segment of chromosome 20. Holy chimloda.

Greg also sent his DNAPainter sharing link, and it turns out that this is only a partial list, with one of my cousins highlighted, dead center in the list of Peter Johnson’s and Mary Polly Phillip’s descendants. Greg has even more not shown.

Trying Not to Jump to Conclusions

I’m trying so hard NOT to jump to conclusions, but this is just SOOOO EXCITING!

Little doubt remains that indeed, Peter Johnson and Mary Polly Phillips are the parents of Dorcas Johnson who married Jacob Dobkins and also of Margaret Johnson who married Evan Dobkins. I’ve eliminated the possibility of other common ancestors, as much as possible, and verified that the descent is through multiple children. This particular segment on chromosome 20 reaches across multiple children’s lines.

I say little doubt remains, because some doubt does remain. It’s possible that perhaps Dorcas and her sister weren’t actually daughters of Peter Johnson, but maybe children of his brother? Peter was reported to have a brother James, a sheriff in Cumberland County, PA. but again, we lack proof. If Dorcas is Peter Johnson’s niece, her descendants would still be expected to match some of the descendants of Peter and his wife.

Also complicating matters is the fact that Greg also has a Campbell brick wall with a James Campbell born about 1790 who lived in Fayette County, PA, in the far northwest corner of the state. Therefore, DNA matches through Dorcas Johnson Dobkins’s daughters Jenny and Elizabeth who married Campbell brothers need to be verified through her children’s lines that do NOT descend through her daughters who married Campbell men.

Nagging Questions

I know, I’m being a spoilsport, but I still have questions that need answers.

For example, I still need to account for how the Johnson girls managed to get to Shenandoah County, VA (Dunmore County at that time) to meet the Dobkins boys, spend enough time there to court, and then marry Evan and Jacob nine months apart in 1775. Surely they were living there. Young women simply did not travel, especially not great distances, and marriages occurred in the bride’s home county. Yet, they married in Shenandoah County, VA, not in PA.

What About the Records?

We are by no means done. In fact, I’ve just begun. I have some catching up to do. Greg has focused on Peter Johnson and Mary Polly Phillips in Pennsylvania. I need to focus on Virginia.

Of course, the next challenge is actual records.

What exists and what doesn’t? FamilySearch provides a list for Dunmore County, here, and Shenandoah, here.

Was Peter Johnson ever in Dunmore County that became Shenandoah County, VA, and if so when and where? If not, how the heck did his two daughters marry the Dobkins boys in 1775? Was there another Johnson man in Dunmore during that time? Was it James?

Where was Peter Johnson in 1775 when Dorcas and Margaret were marrying? Can we positively account for him in Pennsylvania or elsewhere?

Some information has been published about Peter Johnson, but those critical years are unaccounted for.

It appears that the Virginia Archives has a copy of the 1774-1776 rent rolls for Dunmore County, but they aren’t online. That’s the best place to start. Fingers crossed for one Peter Johnson living right beside John Dobkins, Jacob’s father. Now THAT would convince me.

Stay tuned!

Note – If you’d like to view Greg’s tree at Ancestry, its name is “MyHeritage Tree Simkins” and you can find it by searching for Maude Gertrude Wilson born in 1876 in Logan County, Illinois, died January 27, 1950 in Ramsey County, Minnesota, and married Harry A. Simkins. Elizabeth Ann Johnson (1830-1874) is Maude’s grandmother.

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Identify Your Ancestors – Follow Nested Ancestral Segments

I don’t think that we actively think about our DNA segments as nested ancestors, like Russian Matryoshka dolls, but they are.

That’s exactly why segment information is critical for genealogists. Every segment, and every portion of a segment, has an incredibly important history. In fact, you could say that the further back in time we can track a segment, the more important it becomes.

Let’s see how to unveil nested segments. I’ll use my chromosome 20 as an example because it’s a smaller chromosome. But first, let’s start with my pedigree chart.

Pedigree

Click images to enlarge.

Before we talk about nested segments that originated with specific ancestors, it’s important to take a look at the closest portion of my maternal pedigree chart. My DNA segments came from and through these people. I’ll be working with the first 5 generations, beginning with my mother as generation #1.

Generation 1 – Parents

In the first generation, we receive a copy of each chromosome from each parent. I have a copy of chromosome 20 from my mother and a copy from my father.

At FamilyTreeDNA, you can see that I match my mother on the entire tested region of each chromosome.

Therefore, the entire length of each of my chromosomes is assigned to both mother and father because I received a copy from each parent. I’m fortunate that my mother’s DNA was able to be tested before she passed away.

We see that each copy of chromosome 20 is a total of 110.20 cM long with 17,695 SNPs.

Of course, my mother inherited the DNA on her chromosome 20 from multiple ancestors whose DNA combined in her parents, a portion of which was inherited by my mother. Mom received one chromosome from each of her parents.

I inherited only one copy of each chromosome (In this case, chromosome 20) from Mom, so the DNA of her two parents was divided and recombined so that I inherited a portion of my maternal chromosome 20 from both of my maternal grandparents.

Identifying Maternal and Paternal Matches

Associating matches with your maternal or paternal side is easy at FamilyTreeDNA because their Family Finder matching does it automatically for you if you upload (or create) a tree and link matches that you can identify to their proper place in your tree.

FamilyTreeDNA then uses that matching segment information from known, identified relatives in your tree to place people who match you both on at least one significant-sized segment in the correct maternal, paternal, (or both) buckets. That’s triangulation, and it happens automatically. All you have to do is click on the Maternal tab to view your triangulated maternal matches. As you can see, I have 1432 matches identified as maternal. 

Some other DNA testing companies and third-party tools provide segment information and various types of triangulation information, but they aren’t automated for your entire match list like Family Finder matching at FamilyTreeDNA.

You can read about triangulation in action at MyHeritage, here, 23andMe, here, GEDmatch, here, and DNAPainter, which we’ll use, here. Genetic Affairs AutoKinship tool incorporates triangulation, as does their AutoSegment Triangulation Cluster Tool at GEDmatch. I’ve compiled a reference resource for triangulation, here.

Every DNA testing vendor has people in their database that haven’t tested anyplace else. Your best strategy for finding nested segments and identifying matches to specific ancestors is to test at or transfer your DNA file to every vendor plus GEDmatch where people who test at Ancestry sometimes upload for matching. Ancestry does not provide segment information or a chromosome browser so you’ll sometimes find Ancestry testers have uploaded to GEDmatch, FamilyTreeDNA  or MyHeritage where segment information is readily available. I’ve created step-by-step download/upload instructions for all vendors, here.

Generation 2 – Grandparents

In the second generation, meaning that of my grandparents, I inherited portions of my maternal and paternal grandmother’s and grandfather’s chromosomes.

My maternal and paternal chromosomes can be divided into two pieces or groups each, one for each grandparent.

Using DNAPainter, we can see my father’s chromosome 20 on top and my mother’s on the bottom. I have previously identified segments assigned to specific ancestors which are represented by different colors on these chromosomes. You can read more about how to use DNAPainter, here.

We can divide the DNA inherited from each parent into the DNA inherited from each grandparent based on the trees of people we match. If we test cousins from each side, assigning segments maternally or paternally becomes much, much easier. That’s exactly why I’ve tested several.

For the rest of this article, I’m focusing only on my mother’s side because the concepts and methods are the same regardless of whether you’re working on your maternal side or your paternal side.

Using DNAPainter, I expanded my mother’s chromosome 20 in order to see all of the people I’ve painted on my mother’s side.

DNAPainter allows us to paint matching segments from multiple testing vendors and assign them to specific ancestors as we identify common ancestors with our matches.

Based on these matches, I’ve divided these maternal matches into two categories:

  • Maternal grandmother, meaning my mother’s mother, bracketed in red boxes
  • Maternal grandfather, meaning my mother’s father, bracketed in black boxes.

The text and arrows in these graphics refer to the colors of the brackets/boxes, and NOT the colors of the segments beside people’s names. For example, if you look at the large black box at far right, you’ll see several people, with their matching segments identified by multiple colored bars. The different colored segments (bars) mean I’ve associated the match with different ancestors in multiple or various levels of generations.

Generation 3 – Great-grandparents

Within those maternal and paternal grandparent segments, more nested information is available.

The black Ferverda grandfather segments are further divided into black, from Hiram Ferverda, and gold from his wife Eva Miller. The same concept applies to the red grandmother segments which are now divided into red representing Nora Kirsch and purple representing Curtis Lore, her husband.

While I have only been able to assign the first four segments (at the top) to one person/ancestor, there’s an entire group of matches who share the grouping of segments at right, in gold, descended through Eva Miller. The Miller line is Brethren and Mennonite with lots of testers, so this is a common pattern in my DNA matches.

Eva Miller, the gold ancestor, has two parents, Margaret Elizabeth Lentz and John David Miller, so her segments would come from those two sides.

Generation 4 and 5 – Fuschia Segment

I was able to track the segment shown in fuschia indicated by the blue arrow to Jacob Lentz and his wife Fredericka Ruhle, German immigrant ancestors. Other people in this same match (triangulation) group descend from Margaret Elizabeth Lentz and John David Miller – but that fuschia match is the one that shows us where that segment originated. This allows us to assign that entire gold/blue bracketed set of segments to a specific ancestor or ancestral couple because they triangulate, meaning they all match me and each other.

Therefore, all of the segments that match with the fuschia segment also track back to Jacob Lentz and Fredericka Ruhle, or to their ancestors. We would need people who descend from Jacob’s parents and/or Fredericka’s parents to determine the origins of that segment.

In other words, we know all of these people share a common source of that segment, even if we don’t yet know exactly who that common ancestor was or when they lived. That’s what the process of tracking back discovers.

To be very clear, I received that segment through Jacob and Fredericka, but some of those matches who I have not been able to associate with either Jacob or Fredericka may descend from either Jacob or Fredericka’s ancestors, not Jacob and Fredericka themselves. Connecting the dots between Jacob/Fredericka and their ancestors may be enlightening as to the even older source of that segment.

Let’s take a look at nested segments on my pedigree chart.

Nested Pedigree

Click to enlarge.

You can see the progression of nesting on my pedigree chart, using the same colors for the brackets/boxes. The black Ferverda box at the grandparent level encompasses the entire paternal side of my mother’s ancestry, and the red includes her mother’s entire side. This is identical to the DNAPainter graphic, just expressed on my pedigree chart instead of my chromosome 20.

Then the black gets broken into smaller nested segments of black, gold and fuschia, while the red gets broken into red and purple.

If I had more matches that could be assigned to ancestors, I would have even more nested levels. Of course, if I was using all of my chromosomes, not just 20, I would be able to go back further as well.

You can see that as we move further back in time, the bracketed areas assigned to each color become smaller and smaller, as do the actual segments as viewed on my DNAPainter chromosomes.

Segments Get Progressively Smaller

You can see in the pedigree chart and segment painting above that the segments we inherit from specific ancestors divide over time. As we move further and further back in our tree, the segments inherited from any specific ancestor get smaller and smaller too.

Dr. Paul Maier in the MyOrigins 3.0 White Paper provides this informative graphic that shows the reduction in segments and the number of ancestors whose DNA we carry reaching back in time.

I refer to this as a porcupine chart.

Eventually, we inherit no segments from red ancestors, and the pieces of DNA that we inherit from the distant blue ancestors become so small and fragmented that they cannot be positively identified as coming from a specific ancestor when compared to and matched with other people. That’s why vendors don’t show small segment matches, although different vendors utilize different segment thresholds.

The debate about how small is too small continues, but the answer is not simply segment size alone. There is no one-size-fits-all answer.

As segments become smaller, the probability, or chances that we match another person by chance (IBC) increases. Proof that someone shares a specific ancestor, especially when dealing with increasingly smaller segments is a function of multiple factors, such as tree completeness for both people, shared matches, parental match confirmation, and more. I wrote about What Constitutes Proof, here.

In the Family Finder Matching White Paper, Dr. Maier provides this chart reflecting IBD (Identical By Descent) and IBC (Identical By Chance) segments and the associated false positivity rate. That means how likely you are to match someone on a segment of that size by chance and NOT because you both share the DNA from a common ancestor.

I wrote Concepts: Identical by Descent, State, Population and Chance to help you better understand how this works.

In the chart below, I’ve combined the generations, relationships, # of ancestors, assuming no duplicates, birth year range based on an approximate 30-year generation, percent of DNA assuming exactly half of each ancestor’s DNA descends in each generation (which we know isn’t exactly accurate), and the average amount of total inherited cMs using that same assumption.

Note that beginning with the 7th generation, on average, we can expect to inherit less than 1% of the DNA of an ancestor, or approximately 55 total cM which may be inherited in multiple segments.

The amount of actual cMs inherited in each generation can vary widely and explains why, beginning with third cousins, some people won’t share DNA from a common ancestor above the various vendor matching thresholds. Yet, other cousins several generations removed will match. Inheritance is random.

Parallel Inheritance

In order to match someone else descended from that 11th generation ancestor, BOTH you AND your match will need to have inherited the exact SAME DNA segment, across 11 generations EACH in order to match. This means that 11 transmission events for each person will need to have taken place in parallel with that identical segment being passed from parent to child in each line. For 22 rolls of the genetic dice in a row, the same segment gets selected to be passed on.

You can see why we all need to work to prove that distant matches are valid.

The further back in time we work, the more factors we must take into consideration, and the more confirming proof is needed that a match with another individual is a result of a shared ancestor.

Having said that, shared distant matches ARE the key to breaking through brick-wall ancestors. We just need to be sure we are chasing the real deal and not a red herring.

Exciting Possibilities

The most exciting possibility is that some segments are actually passed intact for several generations, meaning those segments don’t divide into segments too small for matching.

For example, the 22 cM fuschia segment that tracks through generations 4 and 5 to Jacob Lentz and Fredericka Ruhle has been passed either intact or nearly intact to all of those people who stack up and match each other and me on that segment. 22 cM is definitely NOT a small segment and we know that it descended from either Jacob or Fredericka, or perhaps combined segments from each. In any case, if someone from the Lentz line in Germany tested and matched me on that segment (and by inference, the rest of these people too), we would know that segment descended to me from Jacob Lentz – or at least the part we match on if we don’t match on the entire segment.

This is exactly what nested segments are…breadcrumbs to ancestors.

Part of that 22cM segment could be descended from Jacob and part from Fredericka. Then of Jacob’s portion, for example, pieces could descend from both his mother and father.

This is why we track individual segments back in time to discern their origin.

The Promise of the Future

The promise of the future is when a group of other people triangulate on a reasonably sized segment AND know where it came from. When we match that triangulation group, their identified segment may well help break down our brick walls because we match all of them on that same segment.

It is exactly this technique that has helped me identify a Womack segment on my paternal line. I still haven’t identified our common ancestor, but I have confirmed that the Womacks and my Moore/Rice family interacted as neighbors 8 generations ago and likely settled together in Amelia county, migrating from eastern Virginia. In time, perhaps I’ll be able to identify the common Womack ancestor and the link into either my Moore or Rice lines.

I’m hoping for a similar breakthrough on my mother’s side for Philip Jacob Miller’s wife, Magdalena, 7 generations back in my tree. We know Magdalena was Brethren and where they lived when they took up housekeeping. We don’t know who her parents were. However, there are thousands of Miller descendants, so it’s possible that eventually, we will be able to break down that brick wall by using nested segments – ours and people who descend from Magdalena’s siblings, aunts, and uncles.

Whoever those people were, at least some of their descendants will likely match me and/or my cousins on at least one nested Miller segment that will be the same segment identified to their ancestors.

Genealogy is a team sport and solving puzzles using nested segments requires that someone out there is working on identifying triangulated segments that track to their common ancestors – which will be my ancestors too. I have my fingers crossed that someone is working on that triangulation group and I find them or they find me. Of course, I’m working to triangulate and identify my segments to specific ancestors – hoping for a meeting in the middle – that much-desired bridge to the past.

By the time you’ve run out of other records, nested segments are your last chance to identify those elusive ancestors. 

Do you have genealogical brick walls that nested segments could solve?

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2021 Favorite Articles

It’s that time of the year again when we welcome the next year.

2021 was markedly different than anything that came before. (Is that ever an understatement!)

Maybe you had more time for genealogy and spent time researching!

So, what did we read in 2021? Which of my blog articles were the most popular?

In reverse order, beginning with number 10, we have:

This timeless article published in 2015 explains how to calculate the amount of any specific heritage you carry based on your ancestors.

Just something fun that’s like your regular pedigree chart, except color coded locations instead of ancestors. Here’s mine

The Autosegment Triangulation Cluster Tool is a brand new tool introduced in October 2021. Created by Genetic Affairs for GEDmatch, this tool combines autoclusters and triangulation.

Many people don’t realize that we actually don’t inherit exactly 25% of our DNA from each grandparent, nor why.

This enlightening article co-authored with statistician Philip Gammon explains how this works, and why it affects all of your matches.

Who doesn’t love learning about ancient DNA and the messages it conveys. Does your Y or mitochondrial DNA match any of these burials? Take a look. You might be surprised.

How can you tell if you are full or half siblings with another person? You might think this is a really straightforward question with an easy answer, but it isn’t. And trust me, if you EVER find yourself in a position of needing to know, you really need to know urgently.

Using simple match, it’s easy to figure how much of your ancestor’s DNA you “should” have, but that’s now how inheritance actually works. This article explains why and shows different inheritance scenarios.

That 28 day timer has expired, but the article can still be useful in terms of educating yourself. This should also be read in conjunction with Ancestry Retreats, by Judy Russell.

If I had a dollar for every time I’ve heard someone say that their ethnicity percentages were “wrong,” I’d be a rich woman, living in a villa in sun-drenched Tuscany😊

This extremely popular article has either been first or second every year since it was published. Ethnicity is both exciting and perplexing.

As genealogists, the first thing we need to do is to calculate what, according to our genealogy, we would expect those percentages to be. Of course, we also need to factor in the fact that we don’t inherit exactly the same amount of DNA from each grandparent. I explain how I calculated my “expected” percentages of ethnicity based on my known tree. That’s the best place to start.

Please note that I am no longer updating the vendor comparison charts in the article. Some vendors no longer release updates to the entire database at the same time, and some “tweak” results periodically without making an announcement. You’ll need to compare your own results at the different vendors at the same point in time to avoid comparing apples and oranges.

The #1 Article for 2021 is…

  1. Proving Native American Ancestry Using DNA

This article has either been first (7 times) or second (twice) for 9 years running. Now you know why I chose this topic for my new book, DNA for Native American Genealogy.

If you’re searching for your Native American ancestry, I’ve provided step-by-step instructions, both with and without some percentage of Native showing in your autosomal DNA percentages.

Make 2022 a Great Year!

Here’s wishing you the best in 2022. I hope your brick walls cave. What are you doing to help that along? Do you have a strategy in mind?

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I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

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AutoSegment Triangulation Cluster Tool at GEDmatch

Today, I’m reviewing the exciting new AutoSegment Triangulation Cluster Tool at GEDmatch. I love it because this automated tool can be as easy or complex as you want.

It’s easy because you just select your options, run it, and presto, you receive all kinds of useful results. It’s only complex if you want to understand the details of what’s really happening beneath the hood, or you have a complex problem to unravel. The great news is that this one tool does both.

I’ve taken a deep dive with this article so that you can use AutoSegment either way.

Evert-Jan “EJ” Blom, creator of Genetic Affairs has partnered with GEDmatch to provide AutoSegment for GEDmatch users. He has also taken the time to be sure I’ve presented things correctly in this article. Thanks, EJ!

My recommendation is to read this article by itself first to understand the possibilities and think about how you can utilize these results. Then, at GEDmatch, select the AutoSegment Report option and see what treasures await!

Genetic Affairs

Genetic Affairs offers a wide variety of clustering tools that help genealogists break down their brick walls by showing us, visually, how our matches match us and each other. I’ve written several articles about Genetic Affairs’ tools and how to use them, here.

Every DNA segment that we have originated someplace. First, from one of our parents, then from one of our 4 grandparents, and so forth, on up our tree. The further back in time we go, the smaller the segments from those more distant ancestors become, until we have none for a specific ancestor, or at least none over the matching threshold.

The keyword in that sentence is segment, because we can assign or attribute DNA segments to ancestors. When we find that we match someone else on that same segment inherited from the same parent, assuming the match is identical by descent and not identical by chance, we then know that somehow, we shared a common ancestor. Either an ancestor we’ve already identified, or one that remains a mystery.

Those segments can and will reveal ancestors and tell us how we are related to our matches.

That’s the good news. The bad news is that not every vendor provides segment information. For example, 23andMe, FamilyTreeDNA, and MyHeritage all do, but Ancestry does not.

For Ancestry testers, and people wishing to share segment information with Ancestry testers, all is not lost.

Everyone can download a copy of their raw DNA data file and upload those files to vendors who accept uploads, including FamilyTreeDNA, MyHeritage, and of course GEDmatch.

GEDmatch

GEDmatch does not offer DNA testing services, specializing instead in being the common matching denominator and providing advanced tools. GEDmatch recently received a facelift. If you don’t recognize the image above, you probably haven’t signed in to GEDmatch recently, so take a look. The AutoSegment tool is only available on the new version, not the Classic version.

Ancestry customers, as well as people testing elsewhere, can download their DNA files from the testing vendor and upload the files to GEDmatch, availing themselves of both the free and Tier 1 subscription tools.

I’ve written easy step-by-step download/upload instructions for each vendor, here.

At GEDmatch, matching plus a dozen tools are free, but the Tier 1 plan for $10 per month provides users with another 14 advanced tools, including AutoSegment.

To get started, click on the AutoSegment option.

AutoSegment at GEDmatch

You’ll see the GEDmatch AutoSegment selection menu.

You can easily run as many AutoSegment reports as you want, so I suggest starting with the default values to get the lay of the land. Then experiment with different options.

At GEDmatch, AutoSegment utilizes your top 3000 matches. What a huge, HUGE timesaver.

Just a couple of notes about options.

  • My go-to number of SNPs is 500 (or larger,) and I’m always somewhat wary of matches below that level because there is an increased likelihood of identical by chance segments when the required number of segment matching locations is smaller.
  • GEDmatch has to equalize DNA files produced by different vendors, including no-calls where certain areas don’t read. Therefore, there are blank spaces in some files where there is data in other vendors’ files. The “Prevent Hard Breaks” option allows GEDmatch to “heal” those files by allowing longer stretches of “missing” DNA to be considered a match if the DNA on both sides of that blank space matches.
  • “Remove Segments in Known Pile-Up Regions” is an option that instructs GEDmatch NOT to show segments in parts of the human genome that are known to have pile-up regions. I generally don’t select this option, because I want to see those matches and determine for myself if they are valid. We’ll look at a few comparative examples in the Pileup section of this article.

Fortunately, you can experiment with each of these settings one by one to see how they affect your matching. Even if you don’t normally subscribe to GEDmatch, you can subscribe for only one month to experiment with this and other Tier 1 tools.

Your AutoSegment results will be delivered via a download link.

Save and Extract

All Genetic Affairs cluster files are delivered in a zipped file.

You MUST DO TWO THINGS, or these files won’t work correctly.

  1. Save the zip file to your computer.
  2. Extract the files from the zip file. If you’re on a PC, right-click on the zip file and EXTRACT ALL. This extracts the files from the zipped file to be used individually.

If you click on a feature and receive an error message, it’s probably because you either didn’t save the file to your computer or didn’t extract the files.

The file name is very long, so if you try to add the file to a folder that is also buried a few levels deep on your system, you may encounter problems when extracting your file. Putting the file on your desktop so you can access it easily while working is a good idea.

Now, let’s get to the good stuff.

Your AutoSegment Cluster File

Click on the largest HTML file in the list of your extracted files. The HTML file uses the files in the clusters and matches folders, so you don’t need to open those individually.

It’s fun to watch your clusters fly into place. I love this part.

If your file is too large and your system is experiencing difficulty or your browser locks, just click on the smaller AutoSegment HTML file, at the bottom of the list, which is the same information minus the pretty cluster.

Word to the wise – don’t get excited and skip over the three explanatory sections just below your cluster. Yes, I did that and had to go back and read to make sense of what I was seeing.

At the bottom of this explanatory section is a report about Pileup Regions that I’ll discuss at the end of this article.

Excel

As a third viewing option, you can also open the AutoSegment Excel file to view the results in an excel grid.

You’ll notice a second sheet at the bottom of this spreadsheet page that says AutoSegment-segment-clusters. If you click on that tab, you’ll see that your clusters are arranged in chromosome and cluster order, in the same format as long-time genetic genealogist Jim Bartlett uses in his very helpful blog, segment-ology.

You’ll probably see a message at the top of the spreadsheet asking if you want to enable editing. In order for the start and end locations to calculate, you must enable editing. If the start and end locations are zeroes, look for the editing question.

Notice that the colors on this sheet are coordinated with the clusters on the first sheet.

EJ uses yellow rows as cluster dividers. The “Seg” column in the yellow row indicates the number of people in this cluster group, meaning before the next yellow divider row. “Chr” is the chromosome. “Segment TG” is the triangulation group number and “Side” is Jim Bartlett’s segment tracking calculation number.

Of course, the Centimorgans column is the cM size, and the number of matching SNPs is provided.

You can read about how Jim Bartlett tracks his segment clusters, here, which includes discussions of the columns and how they are used.

Looking at each person in the cluster groups by chromosome, *WS matches me and *Cou, the other person in the cluster beginning and ending at the start and end location on chromosome 1. In the match row (as compared with the yellow dividing row,) Column F, “Seg,” tells you the number of segments where *WA matches me, the tester.

A “*” before the match name at GEDmatch means a pseudonym or alias is being used.

In order to be included in the AutoSegment report, a match must triangulate with you and at least one other person on (at least) one of those segments. However, in the individual match reports, shown below, all matching segments are provided – including ones NOT in segment clusters.

Individual DNA Matches

In the HTML file, click on *WA.

You’ll see the three segments where *WA matches you, or me in this case. *WA triangulates with you and at least one other person on at least one of these segments or *WA would not be included in the GEDmatch AutoSegment report.

However, *WA may only triangulate on one segment and simply match you on the other two – or *WA may triangulate on more than one segment. You’ll have to look at the other sections of this report to make that determination.

Also, remember that this report only includes your top 3000 matches.

AutoSegment

All Genetic Affairs tools begin with an AutoCluster which is a grouping of people who all match you and some of whom match each other in each colored cluster.

AutoSegment at GEDmatch begins with an AutoCluster as well, but with one VERY IMPORTANT difference.

AutoSegment clusters at GEDmatch represent triangulation of three people, you and two other people, in AT LEAST ONE LOCATION. Please note that you and they may also match in other locations where three people don’t triangulate.

By matching versus triangulation, I’m referring to the little individual cells which show the intersection of two of your matches to each other.

Regular AutoCluster reports, meaning NOT AutoSegment clusters at GEDmatch, include overlapping segment matches between people, even if they aren’t on the same chromosome and/or don’t overlap entirely. A colored cell in AutoSegment at GEDmatch means triangulation, while a colored cell in other types of AutoCluser reports means match, but not necessarily triangulation.

Match information certainly IS useful genealogically, but those two matching people in that cell:

  • Could be matching on unrelated chromosomes.
  • Could be matching due to different ancestors.
  • Could be matching each other due to an ancestor you don’t have.
  • May or may not triangulate.

Two people who have a colored cell intersection in an AutoSegment Cluster at GEDmatch are different because these cells don’t represent JUST a match, they represent a TRIANGULATED match.

Triangulation tightens up these matches by assuring that all three people, you and the two other people in that cell, match each other on a sufficient overlapping segment (10 cM in this case) on the same chromosome which increases the probability that you do in fact share a common ancestor.

I wrote about the concept of triangulation in my article about triangulation at GEDmatch, but AutoSegment offers a HUGE shortcut where much of the work is done for you. If you’re not familiar with triangulation, it’s still a good idea to read that article, along with A Triangulation Checklist Born From the Question; “Why NOT use Close Relatives for Triangulation?”

Let’s take a look at my AutoSegment report from GEDmatch.

AutoSegment Clusters at GEDmatch

A total of 195 matches are clustered into a total of 32 colored clusters. I’m only showing a portion of the clusters, above.

I’ve blurred the names of my matches in my AutoSegment AutoCluster, of course, but each cell represents the intersection of two people who both match and triangulate with me and each other. If the two people match and triangulate with each other and others in the same cluster, they are colored the same as their cluster matches.

For example, all 18 of the people in the orange cluster match me and each other on one (or more) chromosome segments. They all triangulate with me and at least one other person, or they would not appear in a colored cell in this report. They triangulate with me and every other person with whom they have a colored cell.

If you mouse over a colored cell, you can see the identity of those two people at that intersection and who else they match in common. Please note that me plus the two people in any cell do triangulate. However, me plus two people in a different cell in the same cluster may triangulate on a different segment. Everyone matches in an intricate grid, but different segments on different chromosomes may be involved.

You can see in this example that my cousin, Deb matches Laurene and both Deb and Laurene match these other people on a significant amount of DNA in that same cluster.

What happens when people match others within a cluster, but also match people in other colored clusters too?

Multiple Cluster Matches = Grey Cells

The grey cells indicate people who match in multiple clusters, showing the match intersection outside their major or “home” cluster. When you see a grey cell, think “AND.” That person matches everyone in the colored cell to the left of that grey cell, AND anyone in a colored cell below grey cells too. Any of your matches could match you and any number of other people in other cells/clusters as well. It’s your lucky day!

Deb’s matches are all shown in row 4. She and I both match all of the orange cluster people as well as several others in other clusters, indicated by grey cells.

I’m showing Deb’s grey cell that indicates that she also matches people in cluster #5, the large brown cluster. When I mouse over that grey cell, it shows that Deb (orange cluster) and Daniel (brown cluster) both match a significant number of people in both clusters. That means these clusters are somehow connected.

Looking at the bigger picture, without mousing over any particular cell, you can see that a nontrivial number of people match between the first several clusters. Each of these people match strongly within their primary-colored cluster, but also match in at least one additional cluster. Some people will match people in multiple clusters, which is a HUGE benefit when trying to identify the source ancestor of a specific segment.

Let’s look at a few examples. Remember, all of these people match you, so the grid shows how they also match with each other.

#1 – In the orange cluster, the top 5 rows, meaning the first 5 people on the left side list match other orange cluster members, but they ALSO match people in the brown cluster, below. A grey cell is placed in the column of the person they also match in the brown cluster.

#2 – The two grey cells bracketed in the second example match someone in the small red cluster above, but one person also matches someone in the small purple cluster and the other person matches someone in the brown cluster.

#3 – The third example shows one person who matches a number of people in the brown cluster in addition to every person in the magenta cluster below.

#4 – This long, bracketed group shows several people who match everyone in the orange cluster, some of whom also match people in the green cluster, the red cluster, the brown cluster, and the magenta cluster. Clearly, these clusters are somehow related to each other.

Always look at the two names involved in an individual cell and work from there.

The goal, of course, is to identify and associate these clusters with ancestors, or more specifically, ancestral couples, pushing back in time, as we identify the common ancestors of individuals in the cluster.

For example, the largest orange cluster represents my paternal grandparents. The smaller clusters that have shared members with the large orange cluster represent ancestors in that lineage.

Identifying the MRCA, or most recent common ancestor with our matches in any cluster tells us where those common segments of DNA originated.

Chromosome Segments from Clusters

As you scroll down below your cluster, you’ll notice a section that describes how you can utilize these results at DNAPainter.

While GEDmatch can’t automatically determine which of your matches are maternal and paternal, you can import them, by colored cluster, to DNAPainter where you can identify clusters to ancestors and paint them on your maternal and paternal chromosomes. I’ve written about how to use DNAPainter here.

Let’s scroll to the next section in your AutoSegment file.

Chromosome Segment Statistics

The next section of your file shows “Chromosome segment statistics per AutoSegment cluster.”

I need to take a minute here to describe the difference between:

  1. Colored clusters on your AutoCluster diagram, shown below, and
  2. Chromosome segment clusters or groups within each colored AutoSegment cluster

Remember, colored clusters are people, and you can match different people on different, sometimes multiple, chromosomes. Two people whose intersecting cell is colored triangulate on SOME segment but may also match on other segments that don’t triangulate with each other and you.

According to my “Chromosome segment statistics” report, my large orange AutoSegment cluster #1, above, includes:

  • 67 segments from all my matches
  • On five chromosomes (3, 5, 7, 10, 17)
  • That cluster into 8 separate chromosome segment clusters or groups within the orange cluster #1

This is much easier to visualize, so let’s take a look.

Chromosome Segment Clusters

Click on any cluster # in your report, above, to see the chromosome painting for that cluster. I’m clicking on my AutoSegment cluster #1 on the “Chromosome segment statistics” report that will reveal all of the segments in orange cluster #1 painted on my chromosomes.

The brightly colored painted segments show the triangulated segment locations on each chromosome. You can easily see the 8 different segment clusters in cluster #1.

Interestingly, three separate groups or chromosome clusters occur on chromosome 5. We’ll see in a few minutes that the segments in the third cluster on chromosome 5 overlaps with part of cluster #5. (Don’t confuse cluster number shown with a # and chromosome number. They are just coincidentally both 5 in this case.)

The next tool helps me visualize each of these segment clusters individually. Just scroll down.

You can mouse over the segment to view additional information, but I prefer the next tool because I can easily see how the DNA of the people who are included in this segment overlap with each other.

This view shows the individual chromosome clusters, or groups, contained entirely within the orange cluster #1. (Please note that you can adjust the column widths side to side by positioning the cursor at the edge of the column header and dragging.)

Fortunately, I recognize one of these matches, Deb, and I know exactly how she and I are related, and which ancestor we share – my great-grandparents.

Because these segments are triangulated, I know immediately that every one of these people share that segment with Deb and me because they inherited that segment of DNA from some common ancestor shared by me and Deb both.

To be very clear, these people may not share our exact same ancestor. They may share an ancestor upstream from Deb and my common ancestor. Regardless, these people, Deb, and I all share a segment I can assign at this point to my great-grandparents because it either came from them for everyone, or from an upstream ancestor who contributed it to one of my great-grandparents, who contributed it to me and Deb both.

Segment Clusters Entirely Linked

Clusters #2 and #3 are small and have common matches with people in cluster #1 as indicated by the grey cells, so let’s take a look.

I’m clicking on AutoSegment green cluster #2 which only has two cluster members.

I can see that the common triangulated segment between these two people and me occurs on chromosome 3.

This segment on chromosome 3 is entirely contained in green cluster #2, meaning no members of other clusters triangulate on this segment with me and these two people.

This can be a bit confusing, so let’s take it logically step by step.

Remember that the two people who triangulate in green cluster #2 also match people in orange cluster #1? However, the people from orange cluster #1 are NOT shown as members of green cluster #2.

This could mean that although the two people in the green cluster #2 match a couple of people in the orange cluster, they did not match the others, or they did not triangulate. This can be because of the minimum segment overlap threshold that is imposed.

So although there is a link between the people in the clusters, it is NOT sufficient for the green people to be included in the orange cluster and since the two matches triangulate on another segment, they become a separate green cluster.

In reality, you don’t need to understand exactly why members do or don’t fall into the clusters they do, you just need to understand generally how clustering and triangulation works. In essence, trust the tool if people are NOT included in multiple clusters. Click on each person individually to see which chromosomes they match you on, even if they don’t triangulate with others on all of those segments. At this point, I often run one-to-one matches, or other matching tools, to see exactly how people match me and each other.

However, if they ARE included in multiple partly linked clusters, that can be a HUGE bonus.

Let’s look at red cluster #3.

Segment Clusters Partly Linked

You can see that Mark, one of the members of red cluster #3 shares two triangulated segments, one on chromosome 4, and one on chromosome 10.

Mark and Glenn are members of cluster #3, but Glenn is not a member of the segment cluster/group on chromosome 4, only Iona and Mark.

Scrolling down, I can view additional information about the cluster members and the two segments that are held within red cluster #3.

Unlike green cluster #2 whose segment cluster/group is entirely confined to green cluster #2, red cluster #3 has NO segments entirely confined to members of red cluster #3.

Cluster #3 has two members, Mark and Glen. Mark and Glen, along with Val who is a member of orange cluster #1 triangulate on chromosome 10. Remember, I said that chromosome 10 would be important in a minute when we were discussing orange cluster #1. Now you know why.

This segment of chromosome 10 triangulates in both orange cluster #1 AND red cluster #3.

However, Mark, who is a red cluster #3 member also triangulates with Iona and me on a segment of chromosome 4. This segment also appears in AutoSegment brown cluster #4 on chromosome 4.

Now, the great news is that I know my earliest known ancestors with Iona, which means that I can assign this segment to my paternal great-great-grandparents.

If I can identify a common ancestor with some of these other people, I may be able to push segments back further in time to an earlier ancestral couple.

Identifying Common Ancestors

Of course, review each cluster’s members to see if you recognize any of your cousins.

If you don’t know anyone, how do you identify a common ancestor? You can email the person, of course, but GEDmatch also facilitates uploading GEDCOM files which are trees.

In your primary AutoSegment file, keep scrolling to see who has trees.

AutoSegment Cluster Information

If you continue to scroll down in your original HTML file, you’ll see AutoSegment Cluster Information.

For each cluster, all members are listed. It’s easy to see which people have uploaded trees. You can click to view and can hopefully identify an ancestor or at least a surname.

Click on “tree” to view your match’s entry, then on Pedigree to see their tree.

If your matches don’t have a tree, I suggest emailing and sharing what you do know. For example, I can tell my matches in cluster #1 that I know this line descends from Lazarus Estes and Elizabeth Vannoy, their birth and death dates and location, and encourage my match to view my tree which I have uploaded to GEDmatch.

If you happen to have a lot of matches with trees, you can create a tag group and run the AutoTree analysis on this tag group to identify common ancestors automatically. AutoTree is an amazing tool that identifies common ancestors in the trees of your matches, even if they aren’t in your tree. I wrote about AutoTree, here.

Pileup Regions

Whether you select “Remove Segments in Known Pileup Regions” or not when you select the options to run AutoSegment, you’ll receive a report that you can access by a link in the Explanation of AutoSegment Analysis section. The link is buried at the bottom of those paragraphs that I said not to skip, and many people don’t even see it. I didn’t at first, but it’s most certainly worth reviewing.

What Are Pileup Regions?

First, let’s talk about what pileup regions are, and why we observe them.

Some regions of the human genome are known to be more similar than others, for various reasons.

In these regions, people are more likely to match other people simply because we’re human – not specifically because we share a common ancestor.

EJ utilizes a list of pileup regions, based on the Li et al 2014 paper.

You may match other people on these fairly small segments because humans, generally, are more similar in these regions.

Many of those segments are too small to be considered a match by themselves, although if you happen to match on an adjacent segment, the pileup region could extend your match to appear to be more significant than it is.

If you select the “remove pileup segments” option, and you overlap any pileup region with 4.00 cM or larger, the entire matching segment that includes that region will be removed from the report no matter how large the matching segment is in total.

Here’s an example where the pileup region of 5.04 cM is right in the middle of a matching segment to someone. This entire 15.04 cM segment will be removed.

If those end segments are both 10 cM each instead of 5 cM, the segment will still be removed.

However, if the segment overlap with the pileup region is 3.99 cM or smaller, none of the resulting segment will be removed, so long as the entire segment is over the matching threshold in the first place. In the example above, if the AutoSegment threshold was 7 or 8 cM, the entire segment would be retained. If the matching threshold was 9 or greater, the segment would not have been included because of the threshold.

Of course, eight regions in the pileup chart are large enough to match without any additional adjacent segments if the match threshold is 7 cM and the overlap is exact. If the match threshold is 10 cM, only two pileup regions will possibly match by themselves. However, because those two regions are so large, we are more likely to see multiple matches in those regions.

Having a match in a pileup region does NOT invalidate that match. I have many matches in pileup regions that are perfectly valid, often extending beyond that region and attributable to an identified common ancestor.

You may also have pileup regions, in the regions shown in the chart and elsewhere, because of other genealogical reasons, including:

  • Endogamy, where your ancestors descend from a small, intermarried population, either through all or some of your ancestors. The Jewish population is probably the most well-known example of large-scale endogamy over a very long time period.
  • Pedigree collapse, where you descend from the same ancestors in multiple ways in a genealogical timeframe. Endogamy can reach far back in time. With pedigree collapse, you know who your ancestors are and how you descend, but with endogamy, you don’t.
  • Because you descend from an over-represented or over-tested group, such as the Acadians who settled in Nova Scotia in the early 1600s, intermarried and remained relatively isolated until 1755 when they were expelled. Their numerous descendants have settled in many locations. Acadian descendants often have a huge number of Acadian matches.
  • Some combination of all three of the above reasons. Acadians are a combination of both endogamy and pedigree collapse and many of their descendants have tested.

In my case, I have proportionally more Acadian matches than I have other matches, especially given that my Dutch and some of my German lines have few matches because they are recent immigrants with few descendants in the US. This dichotomy makes the proportional difference even more evident and glaring.

I want to stress here that pileup regions are not necessarily bad. In fact, they may provide huge clues to why you match a particular group of people.

Pileup Regions and Genealogy

In 2016, when Ancestry removed matches that involved personal pileup regions, segments that they felt were “too-matchy,” many of my lost matches were either Acadian or Mennonite/Brethren. Both groups are endogamous and experience pedigree collapse.

Over time, as I’ve worked with my DNA matches, painting my segments at DNAPainter, which marks pileup regions, I’ve come to realize that I don’t have more matches on segments spanning standard pileup regions indicated in the Li paper, nor are those matches unreliable.

An unreliable match might be signaled by people who match on that segment but descend from different unrelated common ancestors to me. Each segment tracks to one maternal and one paternal ancestral source, so if we find individuals matching on the same segment who claim descent from different ancestral lines on the same side, that’s a flag that something’s wrong. (That “something” could also be genealogy or descending from multiple ancestors.)

Therefore, after analyzing my own matching patterns, I don’t select the option to remove pileup segments and I don’t discount them. However, this may not be the right selection for everyone. Just remember, you can run the report as many times as your want, so nothing ventured, nothing gained.

Regardless of whether you select the remove pileup segments option or not, the report contents are very interesting.

Pileup Regions in the Report

Let’s take a look at Pileups in the AutoSegment report.

  • If I don’t select the option of removing pileup region segments, I receive a report that shows all of my segments.
  • If I do select the option to remove pileup region segments, here’s what my report says.

Based on the “remove pileup region segments” option selected, all segments should be removed in the pileup regions documented in the Li article if the match overlap is 4.00 cM or larger.

I want to be very clear here. The match itself is NOT removed UNLESS the pileup segment that IS removed causes the person not to be a match anymore. If that person still matches and triangulates on another segment over your selected AutoSegment threshold, those segments will still show.

I was curious about which of my chromosomes have the most matches. That’s exactly what the Pileup Report tells us.

According to the Pileup Report, my chromosome with the highest number of people matching is chromosome 5. The Y (vertical) axis shows the number of people that match on that segment, and the X axis across the bottom shows the match location on the chromosome.

You’ll recall that chromosome 5 was the chromosome from large orange AutoSegment cluster #1 with three distinct segment matches, so this makes perfect sense.

Sure enough, when I view my DNAPainter results, that first pileup region from about location 5-45 are Brethren matches (from my maternal grandfather) and the one from about 48-95 are Acadian matches (from my maternal grandmother.) This too makes sense.

Please note that chromosome 5 has no general pileup regions annotated in the Li table, so no segments would have been removed.

Let’s look at another example where some segments would be removed.

Based on the chromosome table from the Li paper, chromosome 15 has nearly back-to-back pileup regions from about 20-30 with almost 20 cM of DNA combined.

Let’s see what my Pileup Segment Removal Report for chromosome 15 shows.

No segment matches in this region are reported because I selected remove pileup regions.

The only way to tell how many segment matches were removed in this region is to run the report and NOT select the remove pileup segments option. I did that as a basis for comparison.

You can see that about three segments were removed and apparently one of those segments extended further than the other two. It’s also interesting that even though this is designated as a pileup region, I had fewer matches in this region than on other portions of the chromosome.

If I want to see who those segments belong to, I can just view my chromosome 15 results in the AutoSegment-segment-clusters tab in the spreadsheet view which is arranged neatly in chromosome order.

The only way to tell if matches in pileup regions are genealogically valid and relevant is to work with each match or group of matches and determine if they make sense. Does the match extend beyond the pileup region start and end edge? If so, how much? Can you identify a common ancestor or ancestral line, and if so, do the people who triangulate in that segment cluster makes sense?

Of course, my genealogy and therefore my experience will be different than other people’s. Anyone who descends primarily from an endogamous population may be very grateful for the “remove pileups” option. One size does NOT fit all. Fortunately, we have options.

You can run these reports as many times as you want, so you may want to run identical reports and compare a report that removes segments that occur in pileup regions with one that does not.

What’s Next?

For AutoSegment at GEDmatch to work most optimally, you’ll need to do three things:

  • If you don’t have one already, upload a raw DNA file from one of the testing vendors. Instructions here.
  • Upload a GEDCOM file. This allows you to more successfully run tools like AutoTree because your ancestors are present, and it helps other people too. Perhaps they will identify your common ancestor and contact you. You can always email your matches and suggest that they view your GEDCOM file to look for common ancestors or explain what you found using AutoTree. Anyone who has taken the time to learn about GEDmatch and upload a file might well be interested enough to make the effort to upload their GEDCOM file.
  • Convince relatives to upload their DNA files too or offer to upload for them. In my case, triangulating with my cousins is invaluable in identifying which ancestors are represented by each cluster.

If you have not yet uploaded a GEDCOM file to GEDmatch, now’s a great time while you’re thinking about it. You can see how useful AutoClusters and AutoSegment are, so give yourself every advantage in identifying common matches.

If you have a tree at Ancestry, you can easily download a copy and upload to GEDmatch. I wrote step-by-step instructions, here. Of course, you can upload any GEDCOM file from another source including your own desktop computer software.

You never know, using AutoSegment and AutoTree, you may just find common ancestors BETWEEN your matches that you aren’t aware of that might, just might, help you break down YOUR brick walls and find previously unknown ancestors.

AutoSegment tells you THAT you triangulate and exactly where. Now it’s up to you to figure out why.

Give AutoSegment at GEDmatch a try.

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A Triangulation Checklist Born From the Question; “Why NOT Use Close Relatives for Triangulation?”

One of my readers asked why we don’t use close relatives for triangulation.

This is a great question because not using close relatives for triangulation seems counter-intuitive.

I used to ask my kids and eventually my students and customers if they wanted the quick short answer or the longer educational answer.

The short answer is “because close relatives are too close to reliably form the third leg of the triangle.” Since you share so much DNA with close relatives, someone matching you who is identical by chance can also match them for exactly the same reason.

If you trust me and you’re good with that answer, wonderful. But I hope you’ll keep reading because there’s so much to consider, not to mention a few gotchas. I’ll share my methodology, techniques, and workarounds.

We’ll also discuss absolutely wonderful ways to utilize close relatives in the genetic genealogical process – just not for triangulation.

At the end of this article, I’ve provided a working triangulation checklist for you to use when evaluating your matches.

Let’s go!

The Step-by-Step Educational Answer😊

Some people see “evidence” they believe conflicts with the concept that you should not use close relatives for triangulation. I understand that, because I’ve gone down that rathole too, so I’m providing the “educational answer” that explains exactly WHY you should not use close relatives for triangulation – and what you should do.

Of course, we need to answer the question, “Who actually are close relatives?”

I’ll explain the best ways to best utilize close relatives in genetic genealogy, and why some matches are deceptive.

You’ll need to understand the underpinnings of DNA inheritance and also of how the different vendors handle DNA matching behind the scenes.

The purpose of autosomal DNA triangulation is to confirm that a segment is passed down from a particular ancestor to you and a specific set of your matches.

Triangulation, of course, implies 3, so at least three people must all match each other on a reasonably sized portion of the same DNA segment for triangulation to occur.

Matching just one person only provides you with one path to that common ancestor. It’s possible that you match that person due to a different ancestor that you aren’t aware of, or due to chance recombination of DNA.

It’s possible that your or your match inherited part of that DNA from your maternal side and part from your paternal side, meaning that you are matching that other person’s DNA by chance.

I wrote about identical by descent (IBD), which is an accurate genealogically meaningful match, and identical by chance (IBC) which is a false match, in the article Concepts – Identical by…Descent, State, Population and Chance.

I really want you to understand why close relatives really shouldn’t be used for triangulation, and HOW close relative matches should be used, so we’re going to discuss all of the factors that affect and influence this topic – both the obvious and little-understood.

  • Legitimate Matches
  • Inheritance and Triangulation
  • Parental Cross-Matching
  • Parental Phasing
  • Automatic Phasing at FamilyTreeDNA
  • Parental Phasing Caveats
  • Pedigree Collapse
  • Endogamy
  • How Many Identical-by-Chance Matches Will I Have?
  • DNA Doesn’t Skip Generations (Seriously, It Doesn’t)
  • Your Parents Have DNA That You Don’t (And How to Use It)
  • No DNA Match Doesn’t Mean You’re Not Related
  • Imputation
  • Ancestry Issues and Workarounds
  • Testing Close Relatives is VERY Useful – Just Not for Triangulation
  • Triangulated Matches
  • Building Triangulation Evidence – Ingredients and a Recipe
  • Aunts/Uncles
  • Siblings
  • How False Positives Work and How to Avoid Them
  • Distant Cousins Are Best for Triangulation & Here’s Why
  • Where Are We? A Triangulation Checklist for You!
  • The Bottom Line

Don’t worry, these sections are logical and concise. I considered making this into multiple articles, but I really want it in one place for you. I’ve created lots of graphics with examples to help out.

Let’s start by dispelling a myth.

DNA Doesn’t Skip Generations!

Recently, someone emailed to let me know that they had “stopped listening to me” in a presentation when I said that if a match did not also match one of your parents, it was a false match. That person informed me that they had worked on their tree for three years at Ancestry and they have “proof” of DNA skipping generations.

Nope, sorry. That really doesn’t happen, but there are circumstances when a person who doesn’t understand either how DNA works, or how the vendor they are using presents DNA results could misunderstand or misinterpret the results.

You can watch my presentation, RootsTech session, DNA Triangulation: What, Why and How, for free here. I’m thrilled that this session is now being used in courses at two different universities.

DNA really doesn’t skip generations. You CANNOT inherit DNA that your parents didn’t have.

Full stop.

Your children cannot inherit DNA from you that you don’t carry. If you don’t have that DNA, your children and their descendants can’t have it either, at least not from you. They of course do inherit DNA from their other parent.

I think historically, the “skipping generations” commentary was connected to traits. For example, Susie has dimples (or whatever) and so did her maternal grandmother, but her mother did not, so Susie’s dimples were said to have “skipped a generation.” Of course, we don’t know anything about Susie’s other grandparents, if Susie’s parents share ancestors, recessive/dominant genes or even how many genetic locations are involved with the inheritance of “dimples,” but I digress.

DNA skipping generations is a fallacy.

You cannot legitimately match someone that your parent does not, at least not through that parent’s side of the tree.

But here’s the caveat. You can’t match someone one of your parents doesn’t with the rare exception of:

  • Relatively recent pedigree collapse that occurs when you have the same ancestors on both sides of your tree, meaning your parents are related, AND
  • The process of recombination just happened to split and recombine a segment of DNA in segments too small for your match to match your parents individually, but large enough when recombined to match you.

We’ll talk about that more in a minute.

However, the person working with Ancestry trees can’t make this determination because Ancestry doesn’t provide segment information. Ancestry also handles DNA differently than other vendors, which we’ll also discuss shortly.

We’ll review all of this, but let’s start at the beginning and explain how to determine if our matches are legitimate, or not.

Legitimate Matches

Legitimate matches occur when the DNA of your ancestor is passed from that ancestor to their descendants, and eventually to you and a match in an unbroken pathway.

Unbroken means that every ancestor between you and that ancestor carried and then passed on the segment of the ancestor’s DNA that you carry today. The same is true for your match who carries the same segment of DNA from your common ancestor.

False positive matches occur when the DNA of a male and female combine randomly to look like a legitimate match to someone else.

Thankfully, there are ways to tell the difference.

Inheritance and Triangulation

Remember, you inherit two copies of each of your chromosomes 1-22, one copy from your mother and one from your father. You inherit half of the DNA that each parent carries, but it’s mixed together in you so the labs can’t readily tell which nucleotide, A, C, T, or G you received from which parent. I’m showing your maternal and paternal DNA in the graphic below, stacked neatly together in a column – but in reality, it could be AC in one position and CA in the next.

For matching all that matters is the nucleotide that matches your match is present in one of those two locations. In this case, A for your mother’s side and C for your father’s side. If you’re interested, you can read more about that in the article, Hit a Genealogy Home Run Using Your Double-Sided Two-Faced Chromosomes While Avoiding Imposters.

You can see in this example that you inherited all As from your Mom and all Cs from your Dad.

  • A legitimate maternal match would match you on all As on this particular example segment.
  • A legitimate paternal match would match you on all Cs on this particular segment.
  • A false positive match will match you on some random combination of As and Cs that make it look like they match you legitimately, but they don’t.
  • A false positive match will NOT match either your mother or your father.

To be very clear, technically a false positive match DOES match your DNA – but they don’t match your DNA because you share a common ancestor with your match. They match you because random recombination on their side causes you to match each other by chance.

In other words, if part of your DNA came from your Mom’s side and part from your Dad’s but it randomly fell in the correct positional order, you’d still match someone whose DNA was from only their mother or father’s side. That’s exactly the situation shown above and below.

Looking at our example again, it’s evident that your identical by chance (IBC) match’s A locations (1, 3, 5, 7 & 9) will match your Mom. C locations (2, 4, 6 8, & 10) will match your Dad, but the nonmatching segments interleaved in-between that match alternating parents will prevent your match from matching either of your parents. In other words, out of 10 contiguous locations in our example, your IBC match has 5 As alternated with 5 Cs, so they won’t match either of your parents who have 10 As or 10 Cs in a row.

This recombination effect can work in either direction. Either or both matching people’s DNA could be randomly mixed causing them to match each other, but not their parents.

Regardless of whose DNA is zigzagging back and forth between maternal and paternal, the match is not genealogical and does not confirm a common ancestor.

This is exactly why triangulation works and is crucial.

If you legitimately match a third person, shown below, on your maternal side, they will match you, your first legitimate maternal match, and your Mom because they carry all As. But they WON’T match the person who is matching you because they are identical by chance, shown in grey below.

The only person your identical by chance match matches in this group is you because they match you because of the chance recombination of parental DNA.

That third person WILL also match all other legitimate maternal matches on this segment.

In the graphic above, we see that while the grey identical by chance person matches you because of the random combination of As from your mother and Cs from your father, your legitimate maternal matches won’t match your identical by chance match.

This is the first step in identifying false matches.

Parental Cross-Matching

Removing the identical by chance match, and adding in the parents of your legitimate maternal match, we see that your maternal match, above, matches you because you both have all As inherited from one parent, not from a combination of both parents.

We know that because we can see the DNA of both parents of both matches in this example.

The ideal situation occurs when two people match and they have both had their parents tested. We need to see if each person matches the other person’s parents.

We can see that you do NOT match your match’s father and your match does NOT match your father.

You do match your match’s mother and your match does match your mother. I refer to this as Parental Cross-matching.

Your legitimate maternal matches will also match each other and your mother if she is available for testing.

All the people in yellow match each other, while the two parents in gray do not match any of your matches. An entire group of legitimate maternal matches on this segment, no matter how many, will all match each other.

If another person matches you and the other yellow people, you’ll still need to see if you match their parents, because if not, that means they are matching you on all As because their two parents DNA combined just happened, by chance, to contribute an A in all of those positions.

In this last example, your new match, in green, matches you, your legitimate match and both of your mothers, BUT, none of the four yellow people match either of the new match’s parents. You can see that the new green match inherited their As from the DNA of their mother and father both, randomly zigzagging back and forth.

The four yellow matches phase parentally as we just proved with cross matching to parents. The new match at first glance appears to be a legitimate match because they match all of the yellow people – but they aren’t because the yellow people don’t match the green person’s parents.

To tell the difference between legitimate matches and identical by chance matches, you need two things, in order.

  • Parental matching known as parental phasing along with parental cross-matching, if possible, AND
  • Legitimate identical by descent (IBD) triangulated matches

If you have the ability to perform parental matching, called phasing, that’s the easiest first step in eliminating identical by chance matches. However, few match pairs will have parents for everyone. You can use triangulation without parental phasing if parents aren’t available.

Let’s talk about both, including when and how close relatives can and cannot be used.

Parental Phasing

The technique of confirming your match to be legitimate by your match also matching one of your parents is called parental phasing.

If we have the parents of both people in a match pair available for matching, we can easily tell if the match does NOT match either parent. That’s Parental Cross Matching. If either match does NOT match one of the other person’s parents, the match is identical by chance, also known as a false positive.

See how easy that was!

If you, for example, is the only person in your match pair to have parents available, then you can parentally phase the match on your side if your match matches your parents. However, because your match’s parents are unavailable, your match to them cannon tbe verified as legitimate on their side. So you are not phased to their parents.

If you only have one of your parents available for matching, and your match does not match that parent, you CANNOT presume that because your match does NOT match that parent, the match is a legitimate match for the other, missing, parent.

There are four possible match conditions:

  • Maternal match
  • Paternal match
  • Matches neither parent which means the match is identical by chance meaning a false positive
  • Matches both parents in the case of pedigree collapse or endogamy

If two matching people do match one parent of both matches (parental cross-matching), then the match is legitimate. In other words, if we match, I need to match one of your parents and you need to match one of mine.

It’s important to compare your matches’ DNA to generationally older direct family members such as parents or grandparents, if that’s possible. If your grandparents are available, it’s possible to phase your matches back another generation.

Automatic Phasing at FamilyTreeDNA

FamilyTreeDNA automatically phases your matches to your parents if you test that parent, create or upload a GEDCOM file, and link your test and theirs to your tree in the proper places.

FamilyTreeDNA‘s Family Matching assigns or “buckets” your matches maternally and paternally. Matches are assigned as maternal or paternal matches if one or both parents have tested.

Additionally, FamilyTreeDNA uses triangulated matches from other linked relatives within your tree even if your parents have not tested. If you don’t have your parents, the more people you identify and link to your tree in the proper place, the more people will be assigned to maternal and paternal buckets. FamilyTreeDNA is the only vendor that does this. I wrote about this process in the article, Triangulation in Action at Family Tree DNA.

Parental Phasing Caveats

There are very rare instances where parental phasing may be technically accurate, but not genealogically relevant. By this, I mean that a parent may actually match one of your matches due to endogamy or a population level match, even if it’s considered a false positive because it’s not relevant in a genealogical timeframe.

Conversely, a parent may not match when the segment is actually legitimate, but it’s quite rare and only when pedigree collapse has occurred in a very specific set of circumstances where both parents share a common ancestor.

Let’s take a look at that.

Pedigree Collapse

It’s not terribly uncommon in the not-too-distant past to find first cousins marrying each other, especially in rather closely-knit religious communities. I encounter this in Brethren, Mennonite and Amish families often where the community was small and out-marrying was frowned upon and highly discouraged. These families and sometimes entire church congregations migrated cross-country together for generations.

When pedigree collapse is present, meaning the mother and father share a common ancestor not far in the past, it is possible to inherit half of one segment from Mom and the other half from Dad where those halves originated with the same ancestral couple.

For example, let’s say the matching segment between you and your match is 12 cM in length, shown below. You inherited the blue segment from your Dad and the neighboring peach segment from Mom – shown just below the segment numbers. You received 6 cM from both parents.

Another person’s DNA does match you, shown in the bottom row, but they are not shown on the DNA match list of either of your parents. That’s because the DNA segments of the parents just happened to recombine in 6 cM pieces, respectively, which is below the 7 cM matching threshold of the vendor in this example.

If the person matched you at 12 cM where you inherited 8 cM from one parent and 4 from the other, that person would show on one parent’s match list, but not the other. They would not be on the parent’s match list who contributed only 4 cM simply because the DNA divided and recombined in that manner. They would match you on a longer segment than they match your parent at 8 cM which you might notice as “odd.”

Let’s look at another example.

click to enlarge image

If the matching segment is 20 cM, the person will match you and both of your parents on different pieces of the same segment, given that both segments are above 7 cM. In this case, your match who matches you at 20 cM will match each of your parents at 10 cM.

You would be able to tell that the end location of Dad’s segment is the same as the start location of Mom’s segment.

This is NOT common and is NOT the “go to” answer when you think someone “should” match your parent and does not. It may be worth considering in known pedigree collapse situations.

You can see why someone observing this phenomenon could “presume” that DNA skipped a generation because the person matches you on segments where they don’t match your parent. But DNA didn’t skip anything at all. This circumstance was caused by a combination of pedigree collapse, random division of DNA, then random recombination in the same location where that same DNA segment was divided earlier. Clearly, this sequence of events is not something that happens often.

If you’ve uploaded your DNA to GEDmatch, you can select the “Are your parents related?” function which scans your DNA file for runs of homozygosity (ROH) where your DNA is exactly the same in both parental locations for a significant distance. This suggests that because you inherited the exact same sequence from both parents, that your parents share an ancestor.

If your parents didn’t inherit the same segment of DNA from both parents, or the segment is too short, then they won’t show as “being related,” even if they do share a common ancestor.

Now, let’s look at the opposite situation. Parental phasing and ROH sometimes do occur when common ancestors are far back in time and the match is not genealogically relevant.

Endogamy

I often see non-genealogical matching occur when dealing with endogamy. Endogamy occurs when an entire population has been isolated genetically for a long time. In this circumstance, a substantial part of the population shares common DNA segments because there were few original population founders. Much of the present-day population carries that same DNA. Many people within that population would match on that segment. Think about the Jewish community and indigenous Americans.

Consider our original example, but this time where much of the endogamous population carries all As in these positions because one of the original founders carried that nucleotide sequence. Many people would match lots of other people regardless of whether they are a close relative or share a distant ancestor.

People with endogamous lines do share relatives, but that matching DNA segment originated in ancestors much further back in time. When dealing with endogamy, I use parental phasing as a first step, if possible, then focus on larger matches, generally 20 cM or greater. Smaller matches either aren’t relevant or you often can’t tell if/how they are.

At FamilyTreeDNA, people with endogamy will find many people bucketed on the “Both” tab meaning they triangulate with people linked on both sides of the tester’s tree.

An example of a Jewish person’s bucketed matches based on triangulation with relatives linked in their tree is shown above.

Your siblings, their children, and your children will be related on both your mother’s and father’s sides, but other people typically won’t be unless you have experienced either pedigree collapse where you are related both maternally and paternally through the same ancestors or you descend from an endogamous population.

How Many Identical-by-Chance Matches Will I Have?

If you have both parents available to test, and you’re not dealing with either pedigree collapse or endogamy, you’ll likely find that about 15-20% of your matches don’t match your parents on the same segment and are identical by chance.

With endogamy, you’ll have MANY more matches on your endogamous lines and you’ll have some irrelevant matches, often referred to as “false positive” matches even though they technically aren’t, even using parental phasing.

Your Parents Have DNA That You Don’t

Sometimes people are confused when reviewing their matches and their parent’s match to the same person, especially when they match someone and their parent matches them on a different or an additional segment.

If you match someone on a specific segment and your parents do not, that’s a false positive FOR THAT SEGMENT. Every segment has its own individual history and should be evaluated individually. You can match someone on two segments, one from each parent. Or three segments, one from each parent and one that’s identical by chance. Don’t assume.

Often, your match will match both you and your parent on the same segment – which is a legitimate parentally phased match.

But what if your match matches your parent on a different segment where they don’t match you? That’s a false positive match for you.

Keep in mind that it is possible for one of your matches to match your parent on a separate or an additional segment that IS legitimate. You simply didn’t inherit that particular segment from your parent.

That’s NOT the same situation as someone matching you that does NOT match one of your parents on the same segment – which is an identical by chance or false match.

Your parent having a match that does not match you is the reverse situation.

I have several situations where I match someone on one segment, and they match my parent on the same segment. Additionally, that person matches my parent on another segment that I did NOT inherit from that parent. That’s perfectly normal.

Remember, you only inherit half of your parent’s DNA, so you literally did NOT inherit the other half of their DNA. Your mother, for example, should have twice as many matches as you on her side because roughly half of her matches won’t match you.

That’s exactly why testing your parents and close family members is so critical. Their matches are as valid and relevant to your genealogy as your own. The same is true for other relatives, such as aunts and uncles with whom you share ALL of the same ancestors.

You need to work with your family member’s matches that you don’t share.

No DNA Match Doesn’t Mean You’re Not Related

Some people think that not matching someone on a DNA test is equivalent to saying they aren’t related. Not sharing DNA doesn’t mean you’re not related.

People are often disappointed when they don’t match someone they think they should and interpret that to mean that the testing company is telling them they “aren’t related.” They are upset and take issue with this characterization. But that’s not what it means.

Let’s analyze this a bit further.

First, not sharing DNA with a second cousin once removed (2C1R) or more distant does NOT mean you’re NOT related to that person. It simply means you don’t share any measurable DNA ABOVE THE VENDOR THRESHOLD.

All known second cousins match, but about 10% of third cousins don’t match, and so forth on up the line with each generation further back in time having fewer cousins that match each other.

If you have tested close relatives, check to see if that cousin matches your relatives.

Second, it’s possible to match through the “other” or unexpected parent. I certainly didn’t think this would be the case in my family, because my father is from Appalachia and my mother’s family is primarily from the Netherlands, Germany, Canada, and New England. But I was wrong.

All it took was one German son that settled in Appalachia, and voila, a match through my mother that I surely thought should have been through my father’s side. I have my mother’s DNA and sure enough, my match that I thought should be on my father’s side matches Mom on the same segment where they match me, along with several triangulated matches. Further research confirmed why.

I’ve also encountered situations where I legitimately match someone on both my mother’s and father’s side, on different segments.

Third, imputation can be important for people who don’t match and think they should. Imputation can also cause matching segment length to be overreported.

Ok, so what’s imputation and why do I care?

Imputation

Every DNA vendor today has to use some type of imputation.

Let me explain, in general, what imputation is and why vendors use it.

Over the years, DNA processing vendors who sell DNA chips to testing companies have changed their DNA chips pretty substantially. While genealogical autosomal tests test about 700,000 DNA locations, plus or minus, those locations have changed over time. Today, some of these chips only have 100,000 or so chip locations in common with chips either currently or previously utilized by other vendors.

The vendors who do NOT accept uploads, such as 23andMe or Ancestry, have to develop methods to make their newest customers on their DNA processing vendor’s latest chip compatible with their first customer who was tested on their oldest chip – and all iterations in-between.

Vendors who do accept transfers/uploads from other vendors have to equalize any number of vendors’ chips when their customers upload those files.

Imputation is the scientific way to achieve this cross-platform functionality and has been widely used in the industry since 2017.

Imputation, in essence, fills in the blanks between tested locations with the “most likely” DNA found in the human population based on what’s surrounding the blank location.

Think of the word C_T. There are a limited number of letters and words that are candidates for C_T. If you use the word in a sentence, your odds of accuracy increase dramatically. Think of a genetic string of nucleotides as a sentence.

Imputation can be incorrect and can cause both false positive and false negative matches.

For the most part, imputation does not affect close family matches as much as more distant matches. In other words, imputation is NOT going to cause close family members not to match.

Imputation may cause more distant family members not to match, or to have a false positive match when imputation is incorrect.

Imputation is actually MUCH less problematic than I initially expected.

The most likely effect of imputation is to cause a match to be just above or below the vendor threshold.

How can we minimize the effects of imputation?

  • Generally, the best result will be achieved if both people test at the same vendor where their DNA is processed on the same chip and less imputation is required.
  • Upload the results of both people to both MyHeritage and FamilyTreeDNA. If your match results are generally consistent at those vendors, imputation is not a factor.
  • GEDmatch does not use imputation but attempts to overcome files with low overlapping regions by allowing larger mismatch areas. I find their matches to be less accurate than at the various vendors.

Additionally, Ancestry has a few complicating factors.

Ancestry Issues

AncestryDNA is different in three ways.

  • Ancestry doesn’t provide segment information so it’s impossible to triangulate or identify the segment or chromosome where people match. There is no chromosome browser or triangulation tool.
  • Ancestry down-weights and removes some segments in areas where they feel that people are “too matchy.” You can read Ancestry’s white papers here and here.

These “personal pileup regions,” as they are known, can be important genealogically. In my case, these are my mother’s Acadian ancestors. Yes, this is an endogamous population and also suffers from pedigree collapse, but since this is only one of my mother’s great-grandparents, this match information is useful and should not be removed.

  • Ancestry doesn’t show matches in common if the shared segments are less than 20cM. Therefore, you may not see someone on a shared match list with a relative when they actually are a shared match.

If two people both match a third person on less than a 20 cM segment at Ancestry, the third person won’t appear on the other person’s shared match list. So, if I match John Doe on 19 cM of DNA, and I looked at the shared matches with my Dad, John Doe does NOT appear on the shared match list of me and my Dad – even though he is a match to both of us at 19 cM.

The only way to determine if John Doe is a shared match is to check my Dad’s and my match list individually, which means Dad and I will need to individually search for John Doe.

Caveat here – Ancestry’s search sometimes does not work correctly.

Might someone who doesn’t understand that the shared match list doesn’t show everyone who shares DNA with both people presume that the ancestral DNA of that ancestor “skipped a generation” because John Doe matches me with a known ancestor, and not Dad on our shared match list? I mean, wouldn’t you think that a shared match would be shown on a tab labeled “Shared Matches,” especially since there is no disclaimer?

Yes, people can be forgiven for believing that somehow DNA “skipped” a generation in this circumstance, especially if they are relatively inexperienced and they don’t understand Ancestry’s anomalies or know that they need to or how to search for matches individually.

Even if John Doe does match me and Dad both, we still need to confirm that it’s on the same segment AND it’s a legitimate match, not IBC. You can’t perform either of these functions at Ancestry, but you can elsewhere.

Ancestry WorkArounds

To obtain this functionality, people can upload their DNA files for free to both FamilyTreeDNA and MyHeritage, companies that do provide full shared DNA reporting (in common with) lists of ALL matches and do provide segment information with chromosome browsers. Furthermore, both provide triangulation in different ways.

Matching is free, but an inexpensive unlock is required at both vendors to access advanced tools such as Family Matching (bucketing) and triangulation at Family Tree DNA and phasing/triangulation at MyHeritage.

I wrote about Triangulation in Action at FamilyTreeDNA, here.

MyHeritage actually brackets triangulated segments for customers on their chromosome browser, including parents, so you get triangulation and parental phasing at the same time if you and your parent have both tested or uploaded your DNA file to MyHeritage. You can upload, for free, here.

In this example, my mother is matching to me in red on the entire length of chromosome 18, of course, and three other maternal cousins triangulate with me and mother inside the bracketed portion of chromosome 18. Please note that if any one of the people included in the chromosome browser comparison do not triangulate, no bracket is drawn around any others who do triangulate. It’s all or nothing. I remove people one by one to see if people triangulate – or build one by one with my mother included.

I wrote about Triangulation in Action at MyHeritage, here.

People can also upload to GEDmatch, a third-party site. While GEDmatch is less reliable for matching, you can adjust your search thresholds which you cannot do at other vendors. I don’t recommend routinely working below 7 cM. I occasionally use GEDmatch to see if a pedigree collapse segment has recombined below another vendor’s segment matching threshold.

Do NOT check the box to prevent hard breaks when selecting the One-to-One comparison. Checking that box allows GEDmatch to combine smaller matching segments into mega-segments for matching.

I wrote about Triangulation in Action at GEDmatch, here.

Transferring/Uploading Your DNA 

If you want to transfer your DNA to one of these vendors, you must download the DNA file from one vendor and upload it to another. That process does NOT remove your DNA file from the vendor where you tested, unless you select that option entirely separately.

I wrote full step-by-step transfer/upload instructions for each vendor, here.

Testing Close Relatives Is VERY Useful – Just Not for Triangulation

Of course, your best bet if you don’t have your parents available to test is to test as many of your grandparents, great-aunts/uncles, aunts, and uncles as possible. Test your siblings as well, because they will have inherited some of the same and some different segments of DNA from your parents – which means they carry different pieces of your ancestors’ DNA.

Just because close relatives don’t make good triangulation candidates doesn’t mean they aren’t valuable. Close relatives are golden because when they DO share a match with you, you know where to start looking for a common ancestor, even if your relative matches that person on a different segment than you do.

Close relatives are also important because they will share pieces of your common ancestor’s DNA that you don’t. Their matches can unlock the answers to your genealogy questions.

Ok, back to triangulation.

Triangulated Matches

A triangulated match is, of course, when three people all descended from a common ancestor and match each other on the same segment of DNA.

That means all three people’s DNA matches each other on that same segment, confirming that the match is not by chance, and that segment did descend from a common ancestor or ancestral couple.

But, is this always true? You’re going to hate this answer…

“It depends.”

You knew that was coming, didn’t you! 😊

It depends on the circumstances and relationships of the three people involved.

  • One of those three people can match the other two by chance, not by descent, especially if two of those people are close relatives to each other.
  • Identical by chance means that one of you didn’t inherit that DNA from one single parent. That zigzag phenomenon.
  • Furthermore, triangulated DNA is only valid as far back as the closest common ancestor of any two of the three people.

Let’s explore some examples.

Building Triangulation Evidence – Ingredients and a Recipe

The strongest case of triangulation is when:

  • You and at least two additional cousins match on the same segment AND
  • Descend through different children of the common ancestral couple

Let’s look at a valid triangulated match.

In this first example, the magenta segment of DNA is at least partially shared by four of the six cousins and triangulates to their common great-grandfather. Let’s say that these cousins then match with two other people descended from different children of their great-great-great-grandparents on this same segment. Then the entire triangulation group will have confirmed that segment’s origin and push the descent of that segment back another two generations.

These people all coalesce into one line with their common great-grandparents.

I’m only showing 3 generations in this triangulated match, but the concept is the same no matter how many generations you reach back in time. Although, over time, segments inherited from any specific ancestor become smaller and smaller until they are no longer passed to the next generation.

In this pedigree chart, we’re only tracking the magenta DNA which is passed generation to generation in descendants.

Eventually, of course, those segments become smaller and indistinguishable as they either aren’t passed on at all or drop below vendor matching thresholds.

This chart shows the average amount of DNA you would carry from each generational ancestor. You inherit half of each parent’s DNA, but back further than that, you don’t receive exactly half of any ancestor’s DNA in any generation. Larger segments are generally cut in two and passed on partially, but smaller segments are often either passed on whole or not at all.

On average, you’ll carry 7 cM of your eight-times-great-grandparents. In reality, you may carry more or you may not carry any – and you are unlikely to carry the same segment as any random other descendants but we know it happens and you’ll find them if enough (or the right) descendants test.

Putting this another way, if you divide all of your approximate 7000 cM of DNA into 7 cM segments of equal length – you’ll have 1000 7 cM segments. So will every other descendant of your eight-times-great-grandparent. You can see how small the chances are of you both inheriting that same exact 7 cM segment through ten inheritance/transmission events, each. Yet it does happen.

I have several triangulated matches with descendants of Charles Dodson and his wife, Anne through multiple of their 9 (or so) children, ten generations back in my tree. Those triangulated matches range from 7-38 cM. It’s possible that those three largest matches at 38 cM could be related through multiple ancestors because we all have holes in our trees – including Anne’s surname.

Click to enlarge image

It helps immensely that Charles Dodson had several children who were quite prolific as well.

Of course, the further back in time, the more “proof” is necessary to eliminate other unknown common ancestors. This is exactly why matching through different children is important for triangulation and ancestor confirmation.

The method we use to confirm the common ancestor is that all of the descendants who match the tester on the same segment all also match each other. This greatly reduces the chances that these people are matching by chance. The more people in the triangulation group, the stronger the evidence. Of course, parental phasing or cross-matching, where available is an added confirmation bonus.

In our magenta inheritance example, we saw that three of the males and one of the females from three different descendants of the great-grandparents all carry at least a portion of that magenta segment of great-grandpa’s DNA.

Now, let’s take a look at a different scenario.

Why can’t siblings or close relatives be used as two of the three people needed for triangulation?

Aunts and Uncles

We know that the best way to determine if a match is valid is by parental phasing – your match also matching to one of your parents.

If both parents aren’t available, looking for close family matches in common with your match is the next hint that genealogists seek.

Let’s say that you and your match both match your aunt or uncle in common or their children.

You and your aunts or uncles matching DNA only pushes your common ancestor back to your grandparents.

At that point, your match is in essence matching to a segment that belongs to your grandparents. Your matches’ DNA, or your grandparents’ DNA could have randomly recombined and you and your aunt/cousins could be matching that third person by chance.

Ok, then, what about siblings?

Siblings

The most recent common ancestor (MRCA) of you and someone who also matches your sibling is your parents. Therefore, you and your sibling actually only count as one “person” in this scenario. In essence, it’s the DNA of your parent(s) that is matching that third person, so it’s not true triangulation. It’s the same situation as above with aunts/uncles, except the common ancestor is closer than your grandparents.

The DNA of your parents could have recombined in both siblings to look like a match to your match’s family. Or vice versa. Remember Parental Cross-Matching.

If you and a sibling inherited EXACTLY the same segment of your Mom’s and Dad’s DNA, and you match someone by chance – that person will match your sibling by chance as well.

In this example, you can see that both siblings 1 and 2 inherited the exact same segments of DNA at the same locations from both of their parents.

Of course, they also inherited segments at different locations that we’re not looking at that won’t match exactly between siblings, unless they are identical twins. But in this case, the inherited segments of both siblings will match someone whose DNA randomly combined with green or magenta dots in these positions to match a cross-section of both parents.

How False Positives Work and How to Avoid Them

We saw in our first example, displayed again above, what a valid triangulated match looks like. Now let’s expand this view and take a look more specifically at how false positive matches occur.

On the left-hand (blue) side of this graphic, we see four siblings that descend through their father from Great-grandpa who contributed that large magenta segment of DNA. That segment becomes reduced in descendants in subsequent generations.

In downstream generations, we can see gold, white and green segments being added to the DNA inherited by the four children from their ancestor’s spouses. Dad’s DNA is shown on the left side of each child, and Mom’s on the right.

  • Blue Children 1 and 2 inherited the same segments of DNA from Mom and Dad. Magenta from Dad and green from Mom.
  • Blue Child 3 inherited two magenta segments from Dad in positions 1 and 2 and one gold segment from Dad in position 3. They inherited all white segments from Mom.
  • Blue Child 4 inherited all gold segments from Dad and all white segments from Mom.

The family on the blue left-hand side is NOT related to the pink family shown at right. That’s important to remember.

I’ve intentionally constructed this graphic so that you can see several identical by chance (IBC) matches.

Child 5, the first pink sibling carries a white segment in position 1 from Dad and gold segments in positions 2 and 3 from Dad. From Mom, they inherited a green segment in position 1, magenta in position 2 and green in position 3.

IBC Match 1 – Looking at the blue siblings, we see that based on the DNA inherited from Pink Child 5’s parents, Pink Child 5 matches Blue Child 4 with white, gold and gold in positions 1-3, even though they weren’t inherited from the same parent in Blue Child 4. I circled this match in blue.

IBC Match 2 – Pink Child 5 also matches Blue Children 1 and 2 (red circles) because Pink Child 5 has green, magenta, and green in positions 1-3 and so do Blue Children 1 and 2. However, Blue Children 1 and 2 inherited the green and magenta segments from Mom and Dad respectively, not just from one parent.

Pink Child 5 matches Blue Children 1, 2 and 4, but not because they match by descent, but because their DNA zigzags back and forth between the blue children’s DNA contributed by both parents.

Therefore, while Pink Child 5 matches three of the Blue Children, they do not match either parent of the Blue Children.

IBC Match 3 – Pink Child 6 matches Blue Child 3 with white, magenta and gold in positions 1-3 based on the same colors of dots in those same positions found in Blue Child 3 – but inherited both paternally and maternally.

You can see that if we had the four parents available to test, that none of the Pink Children would match either the Blue Children’s mother or father and none of the Blue Children would match either of the Pink Children’s mother or father.

This is why we can’t use either siblings or close family relatives for triangulation.

Distant Cousins Are Best for Triangulation & Here’s Why

When triangulating with 3 people, the most recent common ancestor (MRCA) intersection of the closest two people is the place at which triangulation turns into only two lines being compared and ceases being triangulation. Triangle means 3.

If siblings are 2 of the 3 matching people, then their parents are essentially being compared to the third person.

If you, your aunt/uncle, and a third person match, your grandparents are the place in your tree where three lines converge into two.

The same holds true if you’re matching against a sibling pair on your match’s side, or a match and their aunt/uncle, etc.

The further back in your tree you can push that MRCA intersection, the more your triangulated match provides confirming evidence of a common ancestor and that the match is valid and not caused by random recombination.

That’s exactly what the descendants of Charles Dodson have been able to do through triangulation with multiple descendants from several of his children.

It’s also worth mentioning at this point that the reason autosomal DNA testing uses hundreds/thousands of base pairs in a comparison window and not 3 or 6 dots like in my example is that the probability of longer segments of DNA simply randomly matching by chance is reduced with length and SNP density which is the number of SNP locations tested within that cM range.

Hence a 7 cM/500 SNP minimum is the combined rule of thumb. At that level, roughly half of your matches will be valid and half will be identical by chance unless you’re dealing with endogamy. Then, raise your threshold accordingly.

Ok, So Where are We? A Triangulation Checklist for You!

I know this has been a relatively long educational article, but it’s important to really understand that testing close relatives is VERY important, but also why we can’t effectively use them for triangulation.

Here’s a handy-dandy summary matching/triangulation checklist for you to use as you work through your matches.

  • You inherit half of each of your parents’ DNA. There is no other place for you to obtain or inherit your DNA. There is no DNA fairy sprinkling you with DNA from another source:)
  • DNA does NOT skip generations, although in occasional rare circumstances, it may appear that this happened. In this situation, it’s incumbent upon you, the genealogist, to PROVE that an exception has occurred if you really believe it has. Those circumstances might be pedigree collapse or perhaps imputation. You’ll need to compare matches at vendors who provide a chromosome browser, triangulation, and full shared match list information. Never assume that you are the exception without hard and fast proof. We all know about assume, right?
  • Your siblings inherit half of your parents’ DNA too, but not the same exact half of your parent’s DNA that you other siblings did (unless they are identical twins.) You may inherit the exact same DNA from either or both of your parents on certain segments.
  • Your matches may match your parents on different or an additional segment that you did not inherit.
  • Every segment has an individual history. Evaluate every matching segment separately. One matching segment with someone could be maternal, one paternal, and one identical by chance.
  • You can confirm matches as valid if your match matches one of your parents, and you match one of your match’s parents. Parental Phasing is when your match matches your parent. Parental Cross-Matching is when you both match one of each other’s parents. To be complete, both people who match each other need to match one of the parents of the other person. This rule still holds even if you have a known common ancestor. I can’t even begin to tell you how many times I’ve been fooled.
  • 15-20% (or more with endogamy) of your matches will be identical by chance because either your DNA or your match’s DNA aligns in such a way that while they match you, they don’t match either of your parents.
  • Your siblings, aunts, and uncles will often inherit the same DNA as you – which means that identical by chance matches will also match them. That’s why we don’t use close family members for triangulation. We do utilize close family members to generate common match hints. (Remember the 20 cM shared match caveat at Ancestry)
  • While your siblings, aunts, and uncles are too close to use for triangulation, they are wonderful to identify ancestral matches. Some of their matches will match you as well, and some will not because your close family members inherited segments of your ancestor’s DNA that you did not. Everyone should test their oldest family members.
  • Triangulate your close family member’s matches separately from your own to shed more light on your ancestors.
  • Endogamy may interfere with parental phasing, meaning you may match because you and/or your match may have inherited some of the same DNA segment(s) from both sides of your tree and/or more DNA than might otherwise be expected.
  • Pedigree collapse needs to be considered when using parental phasing, especially when the same ancestor appears on both sides of your family tree. You may share more DNA with a match than expected.
  • Conversely, with pedigree collapse, your match may not match your parents, or vice versa, if a segment happens to have recombined in you in a way that drops the matching segments of your parents beneath the vendor’s match threshold.
  • While you will match all of your second cousins, you will only match approximately 90% of your third cousins and proportionally fewer as your relationship reaches further back in time.
  • Not being a DNA match with someone does NOT mean you’re NOT related to them, unless of course, you’re a second cousin (2C) or closer. It simply means you don’t carry any common ancestral segments above vendor thresholds.
  • At 2C or closer, if you’re not a DNA match, other alternative situations need to be considered – including the transfer/upload of the wrong person’s DNA file.
  • Imputation, a scientific process required of vendors may interfere with matching, especially in more distant relatives who have tested on different platforms.
  • Imputation artifacts will be less obvious when people are more closely related, meaning closer relatives can be expected to match on more and larger segments and imputation errors make less difference.
  • Imputation will not cause close relatives, meaning 2C or closer, to not match each other.
  • In addition to not supporting segment matching information, Ancestry down-weights some segments, removes some matching DNA, and does not show shared matches below 20cM, causing some people to misinterpret their lack of common matches in various ways.
  • To resolve questions about matching issues at Ancestry, testers can transfer/upload their DNA files to MyHeritage, FamilyTreeDNA, and GEDmatch and look for consistent matches on the same segment. Start and end locations may vary to some extent between vendors, but the segment size should be basically in the same location and roughly the same size.
  • GEDmatch does not use imputation but allows larger non-matching segments to combine as a single segment which sometimes causes extremely “generous” matches. GEDmatch matching is less reliable than FamilyTreeDNA or MyHeritage, but you can adjust the matching thresholds.
  • The best situation for matching is for both people to test at the same vendor who supports and provides segment data and a chromosome browser such as 23andMe, FamilyTreeDNA, or MyHeritage.
  • Siblings cannot be used for triangulation because the most recent common ancestor (MRCA) between you and your siblings is your parents. Therefore, the “three” people in the triangulation group is reduced to two lines immediately.
  • Uncles and aunts should not be used for triangulation because the most recent common ancestors between you and your aunts and uncles are your grandparents.
  • Conversely, you should not consider triangulating with siblings and close family members of your matches as proof of an ancestral relationship.
  • A triangulation group of 3 people is only confirmation as far back as when two of those people’s lines converge and reach a common ancestor.
  • Identical by chance (IBC) matching occurs when DNA from the maternal and paternal sides are mixed positionally in the child to resemble a maternal/paternal side match with someone else.
  • Identical by chance DNA admixture (when compared to a match) could have occurred in your parents or grandparent’s generation, or earlier, so the further back in time that people in a triangulation group reach, the more reliable the triangulation group is likely to be.
  • The larger the segments and/or the triangulation group, the stronger the evidence for a specific confirmed common ancestor.
  • Early families with a very large number of descendants may have many matching and triangulated members, even 9 or 10 generations later.
  • While exactly 50% of each ancestor’s DNA is not passed in each generation, on average, you will carry 7 cM of your ancestors 10 generations back in your tree. However, you may carry more, or none.
  • The percentage of matching descendants decreases with each generation beyond great-grandparents.
  • The ideal situation for triangulation is a significant number of people, greater than three, who match on the same reasonably sized segment (7 cM/500 SNP or larger) and descend from the same ancestor (or ancestral couple) through different children whose spouses in descendant generations are not also related.
  • This means that tree completion is an important factor in match/triangulation reliability.
  • Triangulating through different children of the ancestral couple makes it significantly less likely that a different unknown common ancestor is contributing that segment of DNA – like an unknown wife in a descendant generation.

Whew!!!

The Bottom Line

Here’s the bottom line.

  1. Don’t use close relatives to triangulate.
  2. Use parents for Parental Phasing.
  3. Use Parental Cross-Matching when possible.
  4. Use close relatives to look for shared common matches that may lead to triangulation possibilities.
  5. Triangulate your close relatives’ DNA in addition to your own for bonus genealogical information. They will match people that you don’t.
  6. For the most reliable triangulation results, use the most distant relatives possible, descended through different children of the common ancestral couple.
  7. Keep this checklist of best practices, cautions, and caveats handy and check the list as necessary when evaluating the strength of any match or triangulation group. It serves as a good reminder for what to check if something seems “off” or unusual.

Feel free to share and pass this article (and checklist) on to your genealogy buddies and matches as you explain triangulation and collaborate on your genealogy.

Have fun!!!

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Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Products and Services

Books

Genealogy Research

How to Download Your DNA Matching Segment Data and Why You Should

There are two or three types of data that testers may be able to download from DNA testing sites. Genealogy customers need to periodically download as much as possible.

  1. Raw data files needed for transferring DNA files from the company where you tested to other testing or analysis/comparison sites such as FamilyTreeDNA, MyHeritage, and GEDmatch for matching and other tools.
  2. Matching segment files which detail your matches, segment by segment with people whom you match.
  3. Match information files that provide you with additional information about your matches. What’s included varies by vendor.

This type of information is not uniformly available from all vendors, but is available as follows:

Vendor Raw Data File Matching Segment File Match Information File
FamilyTreeDNA Yes Yes Yes
MyHeritage Yes Yes Yes
23andMe Yes Yes Yes
Ancestry Yes No No
GedMatch Not a testing company, so no Yes Yes

I have provided step-by-step information about how to download your raw DNA data files and upload them to other vendors in a series of articles that you can find here.

Some of the answers in the table above need caveats because each vendor is different. Let’s take a look.

Matching Segment Files

In this article, I’ll provide information about how to download your matching segment and match information file(s).

Unfortunately, Ancestry does not provide any segment data at all, nor do they provide a way to download your match information. Third-party tools that did this for you have been banned by Ancestry, under threat of legal action, so this information is no longer available to Ancestry customers.

You can’t obtain this information from Ancestry, but you can transfer your DNA file to other vendors such as FamilyTreeDNA, MyHeritage and the third-party site, GEDmatch where you’ll receive additional matches. Some Ancestry matches will have transferred elsewhere as well, and you can take advantage of your matching segment information.

Why Do I Want a Matching Segment File?

The matching segment file provides you with information about exactly how and where you match each person.

Here’s an example that includes the match name, chromosome, start and end location of the match along with the total number of CentiMorgans (cM) and total SNPs in the matching segment. Your matching segment file consists of hundreds/thousands of rows of this information.

Determining who matches you on the same segment is important because it facilitates the identification of common ancestors. Segment matching is also the first step in triangulation which allows you to confirm descent from common ancestors with your matches.

I wrote about triangulation at each vendor in the following articles:

Matching and Triangulation help you sort out legitimate matches, and which ancestors that DNA segment comes from.

Sorting For Legitimate Matches

On each segment location of your DNA, you will match:

  • People from your Mom’s side
  • People from your Dad’s side
  • People that are identical by chance (IBC) where they match you because part of the DNA from your Mom’s side and part from your Dad’s side just happens to look like their DNA (or vice versa.)

You can see how matching works in this example of 10 DNA locations. You inherited half of your Mom’s DNA and half of your Dad’s.

  • Legitimate maternal matches to you on this segment will have all As in this location.
  • Legitimate paternal matches to you will have all Cs in this location.
  • Identical by chance matches will match you, because they have the same DNA as both of your parents that you carry – interspersed. They will not match either of your parents individually.

IBC matches DO technically match you, but accidentally. In other words, they are identical by chance (IBC) because they just happen to match the DNA of both of your parents intermixed. Conversely, you can match the DNA of their parents intermixed as well. Regardless of why, they are not a legitimate maternal or paternal match to you.

For example, you can see that the identical by chance (IBC) match to you, above, won’t match the legitimate maternal or legitimate paternal matches.

When comparing your matches on any segment, you’ll wind up with a group of people who match you and each other on your maternal side, a group on your paternal side, and “everyone else” who is IBC.

I wrote about IBD, identical by descent DNA and IBC, identical by chance DNA and how that works, here.

A downloadable segment match file allows you to sort all of your matches by chromosome and segment. That’s the first step in determining if your matches match each other – which is how to determine if people are legitimate matches or IBC.

Additionally, these files allow you to utilize features at DNAPainter along with the tools at DNAGedcom and Genetic Affairs.

Match Information File

There’s a second file you’ll want to download as well except at 23andMe who includes all of the information in one file. You’ll want to download these files from each vendor at the same time so they are coordinated and include the same matches from the same time.

Downloading the second file, your match information, provides additional information which will be helpful for your genealogy. The information in this file varies by vendor, but includes items such as, but not limited to:

  • Tree link
  • Haplogroup
  • Match date
  • Predicted Relationship Range
  • Actual Relationship
  • Total shared cM
  • Longest segment cM
  • Maternal or paternal bucket (FamilyTreeDNA)
  • Notes
  • Email
  • Family Surnames
  • Location
  • Percent of shared DNA

You never know when vendors are going to change something that will affect your matches, like 23andMe did last fall, so it’s a good idea to download periodically.

Downloading your segment match and match information files are free, so let’s do this.

Downloading Your Segment Match & Information Files

FamilyTreeDNA

Sign on to your account.

click images to enlarge

Under your Family Finder Autosomal DNA test results, click on Chromosome Browser.

On the chromosome browser page, at the top right, click on Download All Segments.

Caveat – if you access the chromosome browser through the Family Finder match page, shown below, you will receive the segment matches ONLY for the people you have selected.

After selecting specific matches, as shown above, the option on the chromosome browser page will only say “Download Segments.” It does NOT say “Download All Segments.”

Clicking on this link only downloads the segments that you match with those people, so always be sure to access “Download ALL Segments” directly through the chromosome browser selection on your Autosomal DNA Family Finder menu without going to your match page and selecting specific matches.

The segment download file includes only the segments, but not additional information, such as which side, maternal or paternal, those matches are bucketed to, surnames and so forth. You need to download a second file.

To download additional information about your matches, scroll to the very bottom of your Family Finder match page and click on either Download Matches or Download Filtered matches. If you’ve used a filter such as maternal or paternal, you’ll receive only those matches, so be sure no filters are in use to download all of your matches’ information.

Your reports will be downloaded to your computer, so save them someplace where you can find them.

MyHeritage

Sign in to your account and click on the DNA tab, then DNA Matches.

At the far right-hand side, you’ll see three little dots. Click on the dots and you’ll see the options to export both the entire DNA Matches list and the shared DNA segment info for all DNA Matches.

You’ll want to download both. The first file Is the DNA matches list.

To download your segment matches, select the second option, “Export shared DNA segment info…”

Your files will be emailed to you.

23andMe

At 23andMe, sign on to your account and click on “DNA Relatives” under the Ancestry tab.

You’ll see your list of matches. Scroll to the very bottom where you’ll see the link to “Download aggregate data.”

23andMe combines your segment and match information in one file.

Remember that at 23andMe, your matches are limited to 2000 (unless you’re a V5 subscriber), minus the number of people who have not opted in to Relative Sharing. Additionally, there will be a number of people in the download file whose names appear, but who don’t have any segment data. Those people opted-in to Relative Sharing, but not to share segment information.

For example, my download file has 2827 rows. Of those, 1769 are unique individuals, meaning that I have matches with multiple segments for 1058 people. This means that of my 2000 allowed matches, 231 (or more) did not opt-in for Relative Sharing. The “or more” means that 23andMe does not roll matches off the list if you have communicated with the person, so some people may actually have more than 2000 matches. It’s impossible to know how 23andMe approaches calculations in this case.

Of those 1769 unique individuals on my match list, 257, or 15% did not share segment information. I’d sure like for those to be automatically rolled off and replaced with the next 257 who do share. 1512 or roughly three-quarters, 75%, of my 2000 allowed matches are useful for genealogy.

Initially, when 23andMe made their changes last fall, they were reportedly limiting the download file number to 1000, but they have reversed that policy on the V3 and V4 chips. I downloaded files from both chip versions to confirm that’s true.

I don’t have the V5 chip subscription level, nor am I going to retest to do that, so I don’t know if V5 subscribers receive all 5000 of the allowed matches in their download file.

This is the perfect example of why it’s a good idea to download your match files periodically. 23andMe is the only testing vendor that restricts your matches and when they roll off your list, they are irretrievable.

Aside from that, safe is better than sorry. You never know when something will change at a vendor and you’ll wish you had downloaded your match files earlier.

GedMatch

GedMatch, a third-party vendor, provides lots of tools but isn’t intuitive and provides almost no tutorial or information about how to navigate or use their site. There are some YouTube videos and Kitty Cooper has written several how-to articles. GEDmatch has promised a facelift soon.

GEDmatch provides many tools for free, along with a Tier1 level which provides advanced features by subscription.

At GEDmatch, you can see up to 2000 matches for free, but you must be a Tier 1 subscription member to download your matches – and the download is restricted to your top 1000 matches.

There are two Tier 1 one-to-many comparison options that are very similar. For either, you’ll enter your kit number and make your selection. Given that you’re restricted to 1000 in the download, there is no reason to search for more than 1000 kits.

click to enlarge

Then, click on Visualization options

You will then see the list of visualization options which includes “List/CSV.”

Clicking on “List/CSV” provides you with options.

click to enlarge

You’ll want to select the Matched Segment List, and you can either select “Prevent Hard Breaks,” or not. Allowing hard breaks means that small non-matching regions between two matching segments is not ignored, and the two segments are reported as two separate segments – if they are large enough to be reported.

If you prevent hard breaks, non-matching regions of less than 500,000 thousand base positions are ignored, creating one larger blended segment. It’s my preference to allow hard breaks because I’ve seen too many instances of erroneously “blended” segments.

When your matching segment file is complete, you will be prompted to download to your computer.

Thanks to Genetic Affairs, I discovered an alternate way to obtain more than 1000 downloaded matches from GEDmatch.

GEDmatch Alternative Methodology

Genetic Affairs suggests using the DNA Segment Search with a minimum of 5000 kits, and to enable the option to “Prevent Hard Breaks.”

Do not close the session while GedMatch is processing or you’ll need to restart your query.

When finished click “Here” to download the file to your system.

Now you’re ready for part 2.

Next, you’ll want to select the Triangulation feature.

These functions take time, so you’ll be watching as the counter increases. Or maybe go eat dinner or research some genealogy.

I can hear the “Jeopardy countdown music

When finished, click on “Here” to download this second file.

Whew! Now you should have your segment and match information files from each company that supports this information and provides downloads.

Saving Files

I generally save my files by vendor and date. However, if you’re going to use the files for a special project – you may want to make a copy elsewhere. For example, I’m going to use these files for Genetic Affairs’ AutoSegment feature, so I’ve downloaded fresh files from each vendor on the same date and made a separate copy, stored in my Genetic Affairs folder. I’ll let you know how that goes😊

Bottom Line

  • Test at vendors that don’t accept transfers. Ancestry and 23andMe
  • Test at or transfer to the rest. FamilyTreeDNA, MyHeritage and GEDmatch
  • Unlock or subscribe to the advanced tools that include chromosome browsers, ethnicity, and more, depending on the vendor. FamilyTreeDNA, MyHeritage, GEDmatch
  • Upload or create trees at each vendor (except 23andMe who doesn’t support trees.)
  • Download as much information as you can from each vendor.
  • Work your matches through shared (in common with) matches, trees, segments, and clusters!

Have fun!!!

_____________________________________________________________

Disclosure

I receive a small contribution when you click on some of the links to vendors in my articles. This does NOT increase the price you pay but helps me to keep the lights on and this informational blog free for everyone. Please click on the links in the articles or to the vendors below if you are purchasing products or DNA testing.

Thank you so much.

DNA Purchases and Free Transfers

Genealogy Products and Services

Books

Genealogy Research